--POSITION OPEN FOR IMMEDIATE JOINERS ONLY-- --THOSE WHO HAVE APPLIED EARLY, NO NEED TO APPLY AGAIN-- Following selection criteria will be strictly followed - Graduated in 2020 or before 4+ YOE in the industry, excluding any career breaks Python or Java proficiency is a MUST Should be able to join in 30 days once the offer letter is released Budget - There is no budget cap for the right talent Location - Noida Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver etc What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As a full-stack engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. What are your responsibilities? Owning entire code bases, improving them over time, and killing tech debts Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for? You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing! Show more Show less
--POSITION OPEN FOR IMMEDIATE JOINERS ONLY-- --THOSE WHO HAVE APPLIED EARLY, NO NEED TO APPLY AGAIN-- Following selection criteria will be strictly followed - Graduated in 2019 or before 5+ YOE in the industry, excluding any career breaks Should be able to join in 30 days once the offer letter is released It is a WFO role. Candidates should be able to relocate to our office location(Noida) What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As an ios application engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. Application Details - https://order.siterecon.ai/siterecon-app What are your responsibilities? Owning entire code bases, improving them over time, and killing tech debts Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for? You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Detailed JD here - https://docs.google.com/document/d/17TzVMkDp-MKewiN9xP6s2SvS2Hky7aFxcGyDaNCSAhU/edit?usp=sharing Drop a note to ankit@siterecon.ai or ruthvik@siterecon.ai if you want to discuss more about what you would be doing! Show more Show less
SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based for its customers. As an iOS application engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. Responsibilities Owning entire code bases, improving them over time, and killing tech debts. Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. Requirements Graduated in 2019 or before. 5+ YOE in the industry, excluding any career breaks. Should be able to join in 7 days once the offer letter is released. This job was posted by Ankit Lohani from SiteRecon. Show more Show less
Job description Title: Customer Success Manager Industry: Computer Software Employment Type : Full Time Location: Remote About SiteRecon: SiteRecon is on a mission to revolutionize the way businesses make decisions in North America by helping enterprise customers scale their sales teams. We automate property mapping and site visits through our innovative mapping platform, designed specifically for property maintenance contractors. By streamlining these processes, we give our clients back valuable time, accelerate their sales efforts, and enhance their profitability. Join us in building the next-generation property intelligence platform! To learn more about what we do for our customers - https://order.siterecon.ai About the Founders and the Team: Founded by former IIT Delhi alumni with extensive experience in satellite imaging, eCommerce, and edtech. Our team is passionate about driving change in the industry. Meet our team - https://www.linkedin.com/company/siterecon/people About the Product: SiteRecon combines the power of Amazon and Google Docs for maps, allowing users to easily create customized maps through our AI-driven data delivery system. This platform serves as a foundation for creating survey notes, operational plans, cost estimates, and more. Market Overview: Our primary focus is the landscaping industry in the United States, Canada, and Australia, which collectively represents a staggering $200 billion market. Roles & Responsibilities: Customer Onboarding: Lead the onboarding process for new clients, ensuring a smooth transition and understanding of platform features. Client Relationship Management: Build and maintain strong relationships with clients to enhance engagement and satisfaction. Upsell Opportunities: Identify and pursue upsell opportunities by understanding client needs and matching them with relevant product features. Contract Management: Oversee the renewal process for existing contracts, ensuring timely communication and negotiation for annual agreements. Churn Reduction: Develop and implement strategies to minimize churn by proactively addressing client concerns and identifying at-risk accounts. Training & Enablement: Conduct training sessions for new features and best practices, empowering clients to maximize their platform usage. Customer Feedback Integration: Gather and analyze customer feedback to inform product improvements and support strategies. Performance Monitoring: Monitor customer activity and engagement levels, proactively addressing any potential issues. Collaboration with Cross-Functional Teams: Work with product, sales, marketing, and support teams to resolve customer issues and enhance the overall customer experience. Testimonial & Case Study Development: Collect and document customer success stories and testimonials for marketing and sales use. Research & Best Practices: Stay updated on industry trends and best practices in customer success and product adoption. What We Look For: Strategic Thinking: Ability to develop and implement effective strategies that deliver compelling solutions for clients. Results-Driven Mindset: A motivated individual with a strong desire to achieve goals and contribute to team success. Educational Background: Bachelor's or Master’s degree in Business, Marketing, or a related field. Adaptability: Flexibility to work across US time zones and adjust to client needs as they arise. Relevant Experience: 2-4 years in customer success, project management, or client relationship roles, preferably within the American or European markets. Communication Skills: Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and persuasively. Energetic Personality: A proactive approach to work and an active lifestyle, with regular participation in sports or fitness activities that demonstrate a commitment to health and well-being. What’s In It for You? - Impactful Work: Drive transformative change for customers in a new business landscape. - Training: Participate in a comprehensive 2-month training program. - Market Presence: Help build SiteRecon’s presence in the US market with entrepreneurial flexibility. - Cross-Cultural Exposure: Collaborate with international partners and colleagues. Perks of Working at SiteRecon: - Ownership: Take initiative on projects that add value to the company. - Transparency: Minimal barriers between you and supervisors, fostering open communication. - Direct Insights: Engage with key stakeholders for immediate feedback on your work. - Inclusivity: Be part of the operational side of the business to understand the bigger picture. - Collaborative Environment: Enjoy cooperation from teammates and managers. - Experimentation: Test new strategies and learn from outcomes in a supportive environment. - Startup Culture: Join a revenue-positive, growth-oriented startup led by IIT alumni in a $450 billion industry. Ready to Join Us? If you're an energetic self-starter with a passion for customer success, we want to hear from you! Apply now to be part of our revolutionary journey at SiteRecon.
Following selection criteria will be strictly followed - Graduated in 2019 or before 5+ YOE in the industry, excluding any career breaks Should be able to join in 30 days once the offer letter is released Candidate should relocate to Noida SiteRecon is a B2B SaaS platform transforming property measurements for landscapers and snow removal contractors in the $176B US market. Using advanced AI on high-resolution aerial imagery, we’ve reduced measurement time from 1 week to 1 day, aiming for 1 hour with upcoming AI advancements. Role Overview We seek a skilled Applied ML Engineer to evaluate, enhance and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models. This role demands expertise in model design, training, and optimization. You’ll have access to: A vast aerial imagery database (7 cm GSD) of 500,000+ properties across the U.S. since 2021. A team of 60 annotators mapping thousands of acres daily. A ready market of 350+ customers for immediate deployment. Powerful compute resources for rapid model training. This is a frontier challenge in computer vision and GIS. While solutions like Meta’s SAM offer basic raster segmentation, they lack the precision for creating high-fidelity, topologically consistent vectors essential for practical GIS applications. SAM struggles with occlusions (e.g., shadows, tree canopies) and produces "blobs" rather than architect-quality outputs. Our approach focuses on solving a constrained problem: using the world’s highest-resolution aerial imagery (7 cm) over U.S. urban areas with logical, repeatable patterns. By tackling this focused challenge, we aim to develop scalable templates to generalize automated extraction for broader GIS applications, similar to Waymo’s strategy in self-driving technology. Critical Skills We Value Most: Data Engineering Expertise : You've cleaned, augmented, and prepared messy real-world datasets Architecture Innovation : Experience with transformers, attention mechanisms, or novel segmentation approaches Production Mindset : You understand inference speed, memory constraints, and deployment realities Iteration Speed : Ability to rapidly prototype, test, and deploy model improvements Internal Adoption & Change Management : You've successfully deployed ML solutions that teams actually use in production workflows. You understand that technical excellence means nothing without user adoption - you'll work directly with our cartography team to ensure model outputs integrate seamlessly into daily operations and drive measurable productivity gains. What You Won't Be Doing: Using pre-trained APIs or off-the-shelf solutions Prompt engineering or LLM fine-tuning Research without clear business impact Why does this role matter? Every day without improved segmentation costs us real business opportunities. We need someone who moves fast, thinks systematically, and delivers production-ready improvements quickly. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Join us to push the boundaries of machine vision in a high-impact domain. Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing!
SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based for its customers. As a full-stack engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. Responsibilities Owning entire code bases, improving them over time, and killing tech debts. Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. Requirements Graduated in 2020 or before. 4+ YOE in the industry, excluding any career breaks. Python or Java proficiency is a MUST. Should be able to join in 30 days once the offer letter is released. Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver, etc. This job was posted by Ankit Lohani from SiteRecon.
Title - Graphic Designer No of positions: 1 (Immediate Joiner) Industry: Internet/Web Software Employment Type: Full Time Location: Noida Sector 132. (Work from Office) We are seeking a creative and detail-oriented Graphic Designer to join our team. The ideal candidate should have a strong portfolio showcasing design skills across digital and print media, with a solid understanding of design principles, branding, and visual storytelling. You will be responsible for creating engaging graphics for marketing campaigns, social media, presentations, websites, and other brand communication materials. About Siterecon: SiteRecon is on a mission to revolutionize the way businesses make decisions in North America by helping enterprise customers scale their sales teams. We automate property mapping and site visits through our innovative mapping platform, designed specifically for property maintenance contractors. By streamlining these processes, we give our clients back valuable time, accelerate their sales efforts, and enhance their profitability. Join us in building the next-generation property intelligence platform!. To learn more about what we do for our customers - https://order.siterecon.ai About the Founders and the Team: Founded by former IIT Delhi alumni with extensive experience in satellite imaging, eCommerce, and edtech. Our team is passionate about driving change in the industry. Meet our team - https://www.linkedin.com/company/siterecon/people About the Product: SiteRecon combines the power of Amazon and Google Docs for maps, allowing users to easily create customized maps through our AI-driven data delivery system. This platform serves as a foundation for creating survey notes, operational plans, cost estimates, and more. Market Overview: Our primary focus is the landscaping industry in the United States, Canada, and Australia, which collectively represents a staggering $200 billion market. Key Responsibilities: Design graphics for digital platforms, including social media, emailers, websites, and ads Develop layouts and visual content for print materials like brochures, posters, and reports. Collaborate with marketing and content teams to ensure consistent brand messaging Revise and adapt designs based on feedback Maintain and organize design assets Requirements: Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign, etc.) and Figma Strong visual design skills with attention to detail Ability to manage multiple projects and meet deadlines A portfolio showcasing creative design work [Optional] Experience with video editing or motion graphics is a plus. Qualifications: Bachelor’s degree or diploma in Graphic Design, Visual Communication, Fine Arts, or a related field (preferred but not mandatory) 1–3 years of relevant design experience (Internship or freelance work may also be considered for junior roles) Experience in a startup, agency, or marketing-focused environment is a plus Ability to communicate well in English - orally, and in writing. Ability to operate in a fast-paced, evolving environment and appropriately prioritise tasks, and keep abreast of the latest technology. Technical Skills: Adobe Creative Suite (Illustrator, Photoshop, InDesign) Basic understanding of layout, typography, and color theory Familiarity with Canva, Figma, or other design tools is a bonus Knowledge of basic UI/UX principles is desirable Key Competencies: Creativity and originality Attention to detail and accuracy Time management and ability to prioritize Communication and collaboration skills Responsiveness to feedback Preferred Skills: Video editing (Adobe Premiere Pro, After Effects) Motion graphics and animation Basic HTML/CSS knowledge Branding and identity design experience Experience working with social media managers and marketing teams Perks of working at Futuresafe Technologies: Work ownership – you can come up with something on your own, can even pull it off on your own, provided it adds value to the company. Minimum opacity between you and your managers. Work closely with the founders of a fast growing company. Direct communication with the key stakeholders and you can get direct insights into your work from them as well. The freedom to speak, to suggest for the betterment of work. The involvement/inclusivity on the operational side of business which will help you understand the bigger picture – this would help you in understanding your work sooner and better.
Senior Product Manager Location: Hybrid (3 days in Office) – HQ in Noida, Delhi NCR Company: SiteRecon.ai Job Type: Full-Time About SiteRecon SiteRecon is transforming the outdoor services industry through cutting-edge AI and geospatial technology. Our platform automates property intelligence for landscaping, snow removal, and facility maintenance companies — helping them win more bids, plan efficiently, and scale faster. We’ve mapped over 1 billion sq.ft. of outdoor space, and we’re just getting started. We work with leading companies in the US and Canada and are focussed on creating a sustainable business with great success so far. As we scale our platform and expand our product offerings, we’re looking for a Senior Product Manager to lead strategic initiatives and drive exceptional user experiences. What You’ll Do As a Senior Product Manager, you will: Own the product roadmap and strategy for one or more core product lines (e.g., mapping automation, proposal generation, site audit). Work closely with engineering, design, AI/ML teams, and go-to-market stakeholders to launch high-impact features. Gather insights from customers, sales, and market research to define requirements and validate product-market fit. Break down complex problems into clear product specs with a sharp focus on usability and business value. Define and monitor success metrics, using data to iterate quickly and improve product performance. Serve as the internal voice of the customer and align product priorities with company OKRs. Mentor junior PMs and contribute to building a world-class product culture. What We’re Looking For Minimum Qualifications 5–8 years of product management experience, preferably in B2B SaaS or enterprise platforms. Strong analytical and problem-solving skills, with a track record of shipping successful products. Experience working with Vision AI/ML or geospatial products is a strong plus. Skilled with utilising generative AI tools for boosting product workflows as well as building agents based on gen AI models to create experiences for end customers as well as automate job workflows inhouse. Comfortable working in a fast-paced startup environment with ambiguity and ownership. Excellent communication, collaboration, and stakeholder management skills. Bonus Points For Background in GIS, computer vision, mapping platforms, or related domains. Experience in field service industries (landscaping, snow, facility maintenance, construction, etc.). Technical degree or MBA. Why Join Us? Be part of a fast-growing startup redefining how outdoor property data is used. Work with a passionate, high-performance team across product, AI, and engineering. Founders from IIT Delhi and Kharagpur. Competitive compensation Opportunity to lead zero-to-one initiatives and make a visible business impact.
As a developer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. Responsibilities Build high-performance web applications using ReactJS, OpenLayers, DeckGL, and other libraries. Convert visual designs to UI elements with an acute eye for detail and design fidelity. Make web applications responsive and cross-browser compatible. Optimize application performance and reduce page loading speed. Own, execute, and deliver products/features end-to-end from planning to design to development to deployment. Contribute towards technical architecture - including coding framework, cloud administration, security, etc. Writing reusable, testable, well-documented, and efficient code. Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality. Possesses strong problem-solving and decision-making skills while using good judgment. Ability to work independently and multitask effectively. Fast learner and stays up-to-date on emerging technologies. Be the go-to person for the team for guidance, and be able to mentor and delegate tasks to junior team members. This job was posted by Ankit Lohani from SiteRecon.
Roles & Responsibilities Take ownership of full product featuresdesign, develop, test, and deploy them across backend and frontend interfaces. Collaborate with product managers and designers to understand requirements and translate them into scalable solutions. Write clean, maintainable, and high-performance code using Python (Django/FastAPI) or Java (Spring Boot). Design and implement RESTful APIs and integrate with third-party APIs and tools. Build reusable frontend components using modern frameworks and libraries. Optimize performance for web and mobile platforms, including GIS-heavy map interfaces. Conduct code reviews, troubleshoot issues, and mentor junior developers as needed. Monitor production systems, identify performance bottlenecks, and deploy fixes proactively. Contribute to architectural decisions and help shape engineering best practices across the team. Requirements Graduated in 2020 or earlier. 4+ years of industry experience (excluding career breaks). Proficiency in Python or Java is a must. Strong understanding of full-stack development, including backend systems, APIs, and frontend interfaces. Must be able to join within 30 days from offer. Preferred Tech Stack & Tools Cloud & Messaging : Google Cloud Platform (GCP), Pub/Sub Database : PostgreSQL / PostGIS, Redis Frameworks : Django, FastAPI, Spring Boot GIS Tools : GDAL, GeoServer Frontend (nice to have) : JavaScript, React or similar Others : RESTful APIs, CI/CD, Docker, Git, Agile workflows (ref:hirist.tech)
You will take ownership of full product features by designing, developing, testing, and deploying them across backend and frontend interfaces. Collaborating with product managers and designers, you will understand requirements and translate them into scalable solutions. Your responsibilities will include writing clean, maintainable, and high-performance code using Python (Django/FastAPI) or Java (Spring Boot). Designing and implementing RESTful APIs, as well as integrating with third-party APIs and tools, will be a key part of your role. Additionally, you will build reusable frontend components using modern frameworks and libraries, optimizing performance for web and mobile platforms, including GIS-heavy map interfaces. In this position, you will also be expected to conduct code reviews, troubleshoot issues, and mentor junior developers when necessary. Monitoring production systems, identifying performance bottlenecks, and deploying fixes proactively will be crucial aspects of your work. Furthermore, you will have the opportunity to contribute to architectural decisions and help shape engineering best practices across the team. Requirements: - Graduated in 2020 or earlier. - 4+ years of industry experience (excluding career breaks). - Proficiency in Python or Java is a must. - Strong understanding of full-stack development, including backend systems, APIs, and frontend interfaces. - Ability to join within 30 days from offer. Preferred Tech Stack & Tools: - Cloud & Messaging: Google Cloud Platform (GCP), Pub/Sub - Database: PostgreSQL / PostGIS, Redis - Frameworks: Django, FastAPI, Spring Boot - GIS Tools: GDAL, GeoServer - Frontend (nice to have): JavaScript, React or similar - Others: RESTful APIs, CI/CD, Docker, Git, Agile workflows Please note that this Job Description is referenced from hirist.tech.,
Senior Product Manager Location: Hybrid (3 days in Office) – HQ in Noida, Delhi NCR Company: SiteRecon.ai Job Type: Full-Time Note : Preference will be given to candidates with proven experience in product management, particularly those from product-based companies About SiteRecon SiteRecon is transforming the outdoor services industry through cutting-edge AI and geospatial technology. Our platform automates property intelligence for landscaping, snow removal, and facility maintenance companies — helping them win more bids, plan efficiently, and scale faster. We’ve mapped over 1 billion sq.ft. of outdoor space, and we’re just getting started. We work with leading companies in the US and Canada and are focussed on creating a sustainable business with great success so far. As we scale our platform and expand our product offerings, we’re looking for a Senior Product Manager to lead strategic initiatives and drive exceptional user experiences. What You’ll Do As a Senior Product Manager, you will: Own the product roadmap and strategy for one or more core product lines (e.g., mapping automation, proposal generation, site audit). Work closely with engineering, design, AI/ML teams, and go-to-market stakeholders to launch high-impact features. Gather insights from customers, sales, and market research to define requirements and validate product-market fit. Break down complex problems into clear product specs with a sharp focus on usability and business value. Define and monitor success metrics, using data to iterate quickly and improve product performance. Serve as the internal voice of the customer and align product priorities with company OKRs. Mentor junior PMs and contribute to building a world-class product culture. What We’re Looking ForMinimum Qualifications 5–8 years of product management experience, preferably in B2B SaaS or enterprise platforms. Strong analytical and problem-solving skills, with a track record of shipping successful products. Experience working with Vision AI/ML or geospatial products is a strong plus. Skilled with utilising generative AI tools for boosting product workflows as well as building agents based on gen AI models to create experiences for end customers as well as automate job workflows inhouse. Comfortable working in a fast-paced startup environment with ambiguity and ownership. Excellent communication, collaboration, and stakeholder management skills. Bonus Points For Background in GIS, computer vision, mapping platforms, or related domains. Experience in field service industries (landscaping, snow, facility maintenance, construction, etc.). Technical degree or MBA. Why Join Us? Be part of a fast-growing startup redefining how outdoor property data is used. Work with a passionate, high-performance team across product, AI, and engineering. Founders from IIT Delhi and Kharagpur. Competitive compensation Opportunity to lead zero-to-one initiatives and make a visible business impact.
Role - Head of Marketing Location: Noida with periodic US-travel Job Type: Full-Time Reports to: CEO About SiteRecon: SiteRecon helps landscaping and snow contractors win more work by turning aerial imagery into precise property measurements—fast. We cut estimation time from days to hours and help operators bid with confidence. We’ve mapped over 1 million properties in the US, and we’re just getting started. Website - https://order.siterecon.ai/ About the Founders and the Team: Founded by former IIT Delhi alumni with extensive experience in satellite imaging, eCommerce, and edtech. Our team is passionate about driving change in the industry. Meet our team - https://www.linkedin.com/company/siterecon/people You will own outcomes Build and own the marketing-sourced pipeline to support our ARR plan. Deliver steady weekly qualified demos ; maintain 3–4× pipeline coverage. Drive CAC payback to target and make attribution trustworthy. What you’ll do Strategy: Define ICPs, positioning, and the annual demand plan. Demand Gen: Plan/buy/optimize Paid Social/Search; stand up partnerships, webinars, and trade-show follow-ups; scale email + outbound assist. Product Marketing: Messaging, launches, sales enablement (decks, one-pagers, battlecards). Content & Community: Build a repeatable content engine (case studies, calculators, “Site Walks”-style video), and nurture a landscaper ops community. Ops & Analytics: Own HubSpot/Salesforce marketing ops, lead scoring, lifecycle rules, and revenue dashboards. Team: Build a lean in-house team and manage specialized freelancers/agencies. Website: Convert—own landing pages, A/B tests, and site performance. Must-haves 8–12+ years in B2B SaaS marketing with direct pipeline ownership at sub-$20M ARR. Proven SMB demand gen in the U.S.; has turned around or scaled at least one core channel. Strong product marketing chops: crisp messaging, sales enablement, objection handling. Fluent with HubSpot , paid channels, SEO/content, and attribution. Numbers driven: builds funnel models, forecasts pipeline, and defends budget with data. Operator mindset: can personally ship ads, emails, and landing pages when needed. Able to use AI tools to maximise outcomes and scale reach. Nice-to-haves Construction tech / GIS / field-service audience experience. Landscaping or snow industry exposure; trade-show and partnerships background. Comfortable on camera / creator energy for founder-led content. What success looks like (at first checkpoint 6 months) Marketing-sourced pipeline consistently meets plan; demo volume up 2x. 2–3 reliable channels producing within CAC targets. Sales says: “Leads are qualified and enabled.” Attribution is trusted. Close rates ticking upwards Hiring Process Starts with screening call by HR to learn why you are interested in the role and evaluate fit Followed by intro call with the CEO to evaluate temperament. Followed by calls with current marketing team lead and CPO to evaluate skills. Followed by creation of 90 month marketing plan and another round with CEO to discuss the plan. Final round to answer any open ended questions
Title: Digital Marketing Manager No of positions: 1 (Immediate Joiner) Industry: Internet/Web Software Employment Type: Full Time Location: Noida Sector 132. (Work from Office) We are looking for a creative and detail-oriented Digital Marketing Manager to join our team. The ideal candidate will have a proven track record in digital marketing with strong design capabilities, and a solid understanding of branding, design principles, and visual storytelling. About Siterecon: SiteRecon is on a mission to revolutionize the way businesses make decisions in North America by helping enterprise customers scale their sales teams. We automate property mapping and site visits through our innovative mapping platform, designed specifically for property maintenance contractors. By streamlining these processes, we give our clients back valuable time, accelerate their sales efforts, and enhance their profitability. Join us in building the next-generation property intelligence platform!. To learn more about what we do for our customers - https://order.siterecon.ai About the Founders and the Team: Founded by former IIT Delhi alumni with extensive experience in satellite imaging, eCommerce, and edtech. Our team is passionate about driving change in the industry. Meet our team - https://www.linkedin.com/company/siterecon/people About the Product: SiteRecon combines the power of Amazon and Google Docs for maps, allowing users to easily create customized maps through our AI-driven data delivery system. This platform serves as a foundation for creating survey notes, operational plans, cost estimates, and more. Market Overview: Our primary focus is the landscaping industry in the United States, Canada, and Australia, which collectively represents a staggering $200 billion market. Key Responsibilities: Manage all aspects of marketing operations Identify opportunities to connect with prospects on LinkedIn and build organic relationships with them Manage on-page and off-page SEO Perform periodic site audits to identify opportunities for improvement in website infrastructure Set up, monitor, and track ad campaigns on Facebook, Google, and LinkedIn Ensure maximum distribution of content via organic channels. Monitor business activities and performance Analyse data, assess trends, and determine actions to optimize performance Ensure the accuracy and timeliness of the data Provide reports for management Identify opportunities to collaborate with other players in the market (influencers, vendors, distributors, thought leaders, etc.) Collaborate with cross-functional teams to support business goals through impactful marketing initiatives. Requirements: Bachelor’s degree in Marketing, Communications, Design, or related field. Proven experience as a Digital Marketing Manager or similar role. Expertise in design tools such as Adobe Creative Suite, Canva, and Figma etc. 3-4 years of relevant experience. Strong portfolio showcasing creative design work across digital and print media. Expertise in Digital Marketing Tools (Semrush, Google Ads, SEO/SEM, Analytics, Social Media Ads). Excellent understanding of branding, design principles, and storytelling. Strong communication and project management skills. Preferred Skills: Experience working in a startup, agency, or marketing-focused environment. Ability to communicate fluently in English (oral and written). Adaptability to operate in a fast-paced, evolving environment while prioritizing tasks effectively. Awareness of the latest digital marketing and design technologies. Perks of working at Futuresafe Technologies: Work ownership – you can come up with something on your own, can even pull it off on your own, provided it adds value to the company. Minimum opacity between you and your managers. Work closely with the founders of a fast-growing company. Direct communication with the key stakeholders, and you can get direct insights into your work from them as well. The freedom to speak, to suggest for the betterment of work. The involvement/inclusivity on the operational side of business, which will help you understand the bigger picture – this would help you in understanding your work sooner and better.
Following selection criteria will be strictly followed - Graduated in 2019 or before 5+ YOE in the industry, excluding any career breaks Should be able to join in 30 days once the offer letter is released Location. - Bangalore / Noida Budget - Open to discussion About Us SiteRecon is a B2B SaaS platform transforming property measurements for landscapers and snow removal contractors in the $176B US market. Using advanced AI on high-resolution aerial imagery, we’ve reduced measurement time from 1 week to 1 day, aiming for 1 hour with upcoming AI advancements. Role Overview We seek a skilled Applied ML Engineer to evaluate, enhance and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models. This role demands expertise in model design, training, and optimization. You’ll have access to: A vast aerial imagery database (7 cm GSD) of 500,000+ properties across the U.S. since 2021. A team of 60 annotators mapping thousands of acres daily. A ready market of 350+ customers for immediate deployment. Powerful compute resources for rapid model training. This is a frontier challenge in computer vision and GIS. While solutions like Meta’s SAM offer basic raster segmentation, they lack the precision for creating high-fidelity, topologically consistent vectors essential for practical GIS applications. SAM struggles with occlusions (e.g., shadows, tree canopies) and produces "blobs" rather than architect-quality outputs. Our approach focuses on solving a constrained problem: using the world’s highest-resolution aerial imagery (7 cm) over U.S. urban areas with logical, repeatable patterns. By tackling this focused challenge, we aim to develop scalable templates to generalize automated extraction for broader GIS applications, similar to Waymo’s strategy in self-driving technology. Key Responsibilities Design and implement transformer-based architecture for semantic segmentation of aerial imagery Develop efficient image-to-token and token-to-image conversion pipelines Create and maintain training datasets, including data cleaning, augmentation, and validation Optimize model training processes for distributed computing environments Implement efficient inference pipelines for production deployment Collaborate with engineering team to integrate new models into existing infrastructure Required Technical Skills Strong foundation in computer vision and deep learning fundamentals Extensive experience training transformer models from scratch Expert-level proficiency in PyTorch Experience with ONNX or TensorRT model optimization and deployment Deep understanding of distributed computing and parallel processing Advanced Python knowledge, including multi-threading and multi-processing optimization Experience with semantic segmentation tasks Proven track record of handling large-scale data processing Required Experience 5+ years of hands-on deep learning experience Track record of successfully deploying computer vision models in production Experience with vision transformer architectures Experience optimizing models for production using ONNX/TensorRT Background in handling high-resolution satellite/aerial imagery preferred Masters/PhD in Computer Science, Machine Learning, or related field preferred Desired Qualities Strong mathematical foundation in deep learning concepts Experience with model architecture design and optimization Proven ability to conduct independent research and stay current with latest developments Excellence in technical documentation and communication Self-motivated with a passion for solving complex technical challenges What Sets You Apart Experience with vision transformers specifically for segmentation tasks Published research or contributions to open-source computer vision projects Experience with high-performance computing environments Background in geospatial data processing Hands-on experience with model quantization and optimization using ONNX/TensorRT Experience deploying optimized models in production environments Why This Role Matters Every day without improved segmentation costs us real business opportunities. We need someone who moves fast, thinks systematically, and delivers production-ready improvements quickly.
Following selection criteria will be followed - 5-15 YOE Worked on at least 1 Computer vision problem statement in the past 5 years Have built, trained and deployed models on production before Comfortable with WFO in Bangalore or Noida Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters preferably tier-1 college ( IISc, IITs, NITs, BITS and others) About Us SiteRecon is a B2B SaaS platform transforming property measurements for landscapers and snow removal contractors in the $176B US market. Using advanced AI on high-resolution aerial imagery, we’ve reduced measurement time from 1 week to 1 day, aiming for 1 hour with upcoming AI advancements. Role Overview We seek a skilled engineer to evaluate, enhance and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models. This role demands expertise in model design, training, and optimization. You’ll have access to: A vast aerial imagery database (7 cm GSD) of 500,000+ properties across the U.S. since 2021. A team of 60 annotators mapping thousands of acres daily. A ready market of 350+ customers for immediate deployment. Powerful compute resources for rapid model training. This is a frontier challenge in computer vision and GIS. While solutions like Meta’s SAM offer basic raster segmentation, they lack the precision for creating high-fidelity, topologically consistent vectors essential for practical GIS applications. SAM struggles with occlusions (e.g., shadows, tree canopies) and produces "blobs" rather than architect-quality outputs. Our approach focuses on solving a constrained problem: using the world’s highest-resolution aerial imagery (7 cm) over U.S. urban areas with logical, repeatable patterns. By tackling this focused challenge, we aim to develop scalable templates to generalize automated extraction for broader GIS applications, similar to Waymo’s strategy in self-driving technology. Key Responsibilities Design and implement transformer-based architecture for semantic segmentation of aerial imagery Develop efficient image-to-token and token-to-image conversion pipelines Create and maintain training datasets, including data cleaning, augmentation, and validation Optimize model training processes for distributed computing environments Implement efficient inference pipelines for production deployment Collaborate with engineering team to integrate new models into existing infrastructure Required Technical Skills Strong foundation in computer vision and deep learning fundamentals Extensive experience training transformer models from scratch Expert-level proficiency in PyTorch Experience with ONNX or TensorRT model optimization and deployment Deep understanding of distributed computing and parallel processing Advanced Python knowledge, including multi-threading and multi-processing optimization Experience with semantic segmentation tasks Proven track record of handling large-scale data processing Required Experience 5+ years of hands-on deep learning experience Track record of successfully deploying computer vision models in production Experience with vision transformer architectures Experience optimizing models for production using ONNX/TensorRT Background in handling high-resolution satellite/aerial imagery preferred Masters/PhD in Computer Science, Machine Learning, or related field preferred Desired Qualities Strong mathematical foundation in deep learning concepts Experience with model architecture design and optimization Proven ability to conduct independent research and stay current with latest developments Excellence in technical documentation and communication Self-motivated with a passion for solving complex technical challenges What Sets You Apart Experience with vision transformers specifically for segmentation tasks Published research or contributions to open-source computer vision projects Experience with high-performance computing environments Background in geospatial data processing Hands-on experience with model quantization and optimization using ONNX/TensorRT Experience deploying optimized models in production environments Why This Role Matters Every day without improved segmentation costs us real business opportunities. We need someone who moves fast, thinks systematically, and delivers production-ready improvements quickly.
We seek a skilled Applied ML Engineer to evaluate, enhance, and/or transform our computer vision infrastructure from traditional CNN architectures to cutting-edge transformer-based models. This role demands expertise in model design, training, and optimization. Responsibilities Design and implement the transformer-based architecture for the semantic segmentation of aerial imagery. Develop efficient image-to-token and token-to-image conversion pipelines. Create and maintain training datasets, including data cleaning, augmentation, and validation. Optimize model training processes for distributed computing environments. Implement efficient inference pipelines for production deployment. Collaborate with the engineering team to integrate new models into existing infrastructure. Requirements 5+ years of hands-on deep learning experience. Track record of successfully deploying computer vision models in production. Experience with vision transformer architectures. Experience optimizing models for production using ONNX/TensorRT. Background in handling high-resolution satellite/aerial imagery preferred. Master's/PhD in Computer Science, Machine Learning, or related field preferred. Required Technical Skills Strong foundation in computer vision and deep learning fundamentals. Extensive experience training transformer models from scratch. Expert-level proficiency in PyTorch. Experience with ONNX or TensorRT model optimization and deployment. Deep understanding of distributed computing and parallel processing. Advanced Python knowledge, including multi-threading and multi-processing optimization. Experience with semantic segmentation tasks. Proven track record of handling large-scale data processing. Desired Qualities Strong mathematical foundation in deep learning concepts. Experience with model architecture design and optimization. Proven ability to conduct independent research and stay current with the latest developments. Excellence in technical documentation and communication. Self-motivated with a passion for solving complex technical challenges. What Sets You Apart Experience with vision transformers specifically for segmentation tasks. Published research or contributions to open-source computer vision projects. Experience with high-performance computing environments. Background in geospatial data processing. Hands-on experience with model quantization and optimization using ONNX/TensorRT. Experience deploying optimized models in production environments. This job was posted by Ankit Lohani from SiteRecon.
Following selection criteria will be strictly followed - Graduated in 2021 or before 4+ YOE in the industry, excluding any career breaks Python or Java proficiency is a MUST Should be able to join in 15 days once the offer letter is released Location - Noida What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As a full-stack engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. What are your responsibilities? Owning entire code bases, improving them over time, and killing tech debts Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for? You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver, etc. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing!
Following selection criteria will be followed - 4-7 YOE Atleast 3 years of experience in the DevOps/Platform Engineering Role Comfortable with WFO in Noida Can join within 15 days About Us SiteRecon is a B2B SaaS platform transforming property measurements for landscapers and snow removal contractors in the $176B US market. Using advanced AI on high-resolution aerial imagery, we’ve reduced measurement time from 1 week to 1 day, aiming for 1 hour with upcoming AI advancements. Role Overview We're looking for our founding Platform Engineer to build our infrastructure from the ground up. This isn't about maintaining existing systems - it's about architecting the foundation that will scale from thousands to millions of property measurements. As our first dedicated Platform Engineer, you'll have the rare opportunity to make architectural decisions that will impact the company for years to come. You'll transform our current infrastructure into a world-class platform that balances the speed of a startup with the security standards of an enterprise. You'll work directly with our CTO and engineering leadership to define our infrastructure philosophy. Every decision you make - from our CI/CD pipeline to our security architecture - will set the standard for how we build and ship software. This is a role for someone who wants to own outcomes, not just execute tasks. What Makes This Different Greenfield Opportunity : Design our platform architecture from first principles, making technology choices that will define our engineering culture Direct Impact : Your work directly affects every engineer's productivity and our ability to serve customers. When you improve deployment time by 50%, everyone feels it Full Ownership : Own the entire platform stack - from infrastructure to developer tools. No bureaucracy, no legacy systems, just building the right thing Shape Engineering Culture : Define how we approach security, reliability, and developer experience. Your practices become our standards Key Responsibilities Foundation Building Architect our cloud platform on GCP from scratch, making crucial decisions on everything from network topology to data encryption strategies Design and implement our first proper CI/CD pipeline that takes us from 30-minute deployments to sub-5 minute deployments Build our infrastructure-as-code foundation using Terraform, establishing patterns that will be used for years Security & Compliance Architecture Lead our SOC2 compliance journey by building security into every layer of our infrastructure Implement customer-managed encryption and zero-trust networking as foundational principles, not afterthoughts Create automated security scanning and remediation systems that make compliance invisible to developers Developer Platform Creation Build the self-service platform that lets developers provision infrastructure in minutes, not days Create golden paths that make the secure, scalable choice the default choice Design observability systems that give developers superpowers in production Scale Preparation Architect systems that can handle 100x growth without major rewrites Build cost optimization into our DNA - making smart resource decisions early Create disaster recovery and backup systems before we need them You're Right For This If You Want to be "the DevOps person" everyone comes to, not just another engineer on the team Get excited about making architectural decisions that will matter for years Believe infrastructure should be invisible when it works and helpful when it doesn't Can balance startup speed with enterprise reliability Want to build the platform you wish you had at your last company What You'll Build in Year One Complete infrastructure migration to Infrastructure-as-Code Sub-5 minute deployments with automatic rollbacks 99.9% uptime with comprehensive monitoring Full SOC2 compliance with automated controls Self-service platform used by every engineer daily 50% reduction in infrastructure costs through optimization Technical Requirements Deep expertise with GCP services and cloud architecture Strong experience with Terraform, Kubernetes, and container orchestration Proficiency in Go or Python for automation Understanding of security best practices and compliance frameworks Track record of building platforms that scale Why This Role Matters Every hour you save our engineers is multiplied across the team. Every security issue you prevent protects thousands of customers. Every system you build becomes the foundation for our next phase of growth. This isn't just a DevOps role - it's a chance to define how a successful AI company builds and ships software. Join us as we transform an entire industry, one measurement at a time.
We are LOOKING For IMMEDIATE Joiners (15 Days maximum or IMMEDIATE) Following selection criteria will be strictly followed - Graduated in 2021 or before 4+ YOE in the industry, excluding any career breaks Proficiency in ReactJS is a must Should be able to join in 15 days or less once the offer letter is released Location - Noida What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As a developer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. Responsibilities: Build high-performance web applications using ReactJS, OpenLayers, DeckGL and other libraries Convert visual designs to UI elements with an acute eye for detail and design fidelity Make web applications responsive and cross-browser compatible Optimize application performance and reduce page loading speed Own, execute, and deliver products/features end-to-end from planning to design to development to deployment Contribute towards technical architecture – including coding framework, cloud administration, security, etc. Writing reusable, testable, well-documented, and efficient code Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality Possess strong problem-solving and decision-making skills while using good judgment Ability to work independently and multi-task effectively Fast learner and stays up-to-date on emerging technologies Be the go-to person for the team for guidance and be able to mentor and delegate tasks to junior team members A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing!