About Zime Zime is on a mission to redefine how revenue teams operate with real-time, AI-guided playbooks and contextualized deal insights. We help CROs, RevOps leaders, and GTM teams close more revenue without increasing headcount. We’re looking for a creative Graphic Designer to join our Product Marketing and Growth team. This role will shape Zime’s brand identity across all touchpoints — from social media campaigns to enterprise sales collateral — and help us stand out in a crowded category. What You’ll Do Branding: Own and evolve Zime’s visual identity across all channels (website, decks, campaigns, and digital presence). Marketing Design: Create compelling visuals for product marketing initiatives (launches, comparison pages, sales enablement decks, infographics, case studies). Social Media: Design engaging graphics, carousels, and visuals optimized for LinkedIn, X, and other relevant channels. Creative Storytelling: Collaborate with PMM and Growth to translate narratives into visually striking campaigns. Motion/Video (Bonus): Edit short-form video content (social snippets, product teasers, customer stories) to elevate our brand presence. What We’re Looking For 2–4 years of experience in graphic design, preferably in B2B SaaS or technology companies . Strong portfolio demonstrating brand building and consistency across multiple formats. Proficiency in Adobe Creative Suite, Figma, or similar tools . Familiarity with design for social media marketing and digital campaigns . Ability to balance creativity with business objectives in fast-paced GTM and PMM environments. Strong eye for typography, color, and visual hierarchy. Bonus: Experience with video editing/motion graphics (Premiere Pro, After Effects, or similar). Why Zime? Shape the brand identity of a fast-growing AI company redefining sales execution. Work closely with Product Marketing, Growth, and Leadership on high-impact initiatives. Opportunity to own design end-to-end , not just execute tasks. Flexible work environment with a team that values creativity, autonomy, and innovation.
Ride the GenAI Wave — as a Builder, Not a Bystander Tired of CS roles that are either glorified support or total chaos? At Zime, CS is strategic. We’re building the AI-native system of intelligence for enterprise sales teams — and we’re looking for high-agency problem solvers to own delivery for our top accounts like HP, Versa & Innovaccer. This is not a ticketing job. You’ll work directly with founders, product, and engineering to: Drive customer outcomes Build reusable playbooks Influence what the product becomes Why Join Zime? Early team → Huge ownership, fast growth, zero bureaucracy World-class founders → Backed by top VCs & founders (Chargebee, Capillary, Skan) AI-native → We're not slapping AI on top. We’re building from the ground up Customers love us → Post-PMF expansion already happening Learning rocketship → GenAI + behavior science + full GTM exposure ESOPs → Skin in the game from day one. What You’ll Do Run onboarding + ongoing success for our top enterprise accounts Solve problems fast — sometimes before the customer sees them Influence product roadmap through real customer insights Track health, adoption, renewals, and upsell signals Partner with Sales/Marketing for expansion plays Build CS processes, content, and playbooks from scratch You’ll Thrive Here If You Have 3–6 years in CS / client delivery / consulting / ops Are calm in chaos — startup ambiguity doesn’t faze you Think like an owner: proactive, scrappy, hands-on Want to be part of a team that’s actually building the future of work Location * Gurgaon (preferred) — in-office 3 days/week
About Zime Zime.ai is a pre-seed funded company based in the Bay Area, California that helps sales leaders scale their sales teams using AI playbooks. At Zime.ai, we're disrupting the SAAS landscape with our cutting-edge GenAI technology. Our mission is to build an AI-playbook by analyzing past 100+ successful deals and then drive actions & results across the sales org. About the Role At Zime, we are seeking an Operations and Prompt Quality Specialist who will play a crucial role in managing daily business operations, overseeing product operations, evaluating prompt outputs, and supporting Generative AI training initiatives. This role sits at the intersection of operations, product quality, and prompt engineering, contributing directly to the refinement of AI-generated outputs and internal process excellence. Key Responsibilities: Manage day-to-day business operations to ensure smooth coordination, timely task execution, and workflow alignment across teams. Conduct quality evaluation of AI-generated prompt responses, ensuring outputs meet high standards of accuracy, relevance, and tone. Assist in Generative AI tuning and prompt training by identifying patterns, analyzing model behavior, and working closely with the product and prompt teams. Drive product operations by managing internal process documentation, task tracking, SOP creation, and continuous improvement efforts. Track task status, maintain operational dashboards, and provide timely reports to leadership on performance and areas for improvement. Collaborate across teams to align operational efforts with product objectives and customer expectations. Who is the Right Fit: Experience in business operations or product ops, with a strong sense of ownership and execution rigor. Familiarity with Generative AI, LLM outputs, or prompt-based models—comfortable evaluating the quality and intent alignment of generated responses. Analytical mindset with the ability to identify gaps in output quality, suggest improvements, and assist with prompt optimization. Strong skills in Google Sheets, documentation tools, and task-tracking platforms to organize and present data effectively. Excellent communication skills and the ability to work cross-functionally across operations, product, and technical teams. A proactive, detail-oriented individual who thrives in a fast-paced, evolving environment and is driven by outcomes and quality standards. Qualifications: Bachelor’s degree required; MBA or advanced degree is a plus. 1–2 years of experience in operations, product ops or a similar role - preferably in a tech or AI-led company. Exposure to Generative AI workflows, LLMs, or prompt engineering is a strong advantage. Strong time management and multitasking abilities in high-growth environments. Why Join Us? Work directly with the CEO on high-impact operational and AI-driven initiatives. Get hands-on experience with cutting-edge AI and prompt evaluation systems. High visibility in a collaborative, growth-oriented environment. Competitive compensation and meaningful learning opportunities. Hybrid setup: 3 days a week WFO from our Gurgaon office.
🚀 Product @ Zime.ai | Rewriting the Product Playbook with AI You’ve likely lived this already: In early-stage startups, PMs often get sandwiched between a feature-first tech founder and a tactical, customer-request-hunting sales founder. You’re hired to “own Product,” but end up decoding founder whims, shipping dashboards no one asked for, and faking buy-in from functions that never believed in the product in the first place. But what if the founder got Product? What if you weren’t just allowed to lead - but expected to rethink everything? At Zime, Product isn’t a ticket factory. It’s the system that ties AI, sales, GTM, and customer behavior into a strategic feedback loop - one that moves weekly, not yearly. And with a founder who has built a $100M+ product-led company before, you’ll have true partnership, not polite alignment. ⸻ 🔥 What We’re Building Zime is redefining sales enablement for enterprise SaaS with AI-native playbooks that actually do the work. Our platform listens to 100s of sales calls, parses CRM signals, and auto-generates living sales assets - objection handling, discovery prompts, persona decks, follow-up templates, and more - customized per deal and constantly learning. We’re post-PMF, growing fast, and backed by believers - Z21 Ventures, AUM, and founders/operators from Chargebee, Capillary, and Skan. ⸻ 🧠 Why This Product Role Is Different ✅ You’ll own vision → roadmap → execution, not triage founder whims. ✅ You’ll build the product muscle - process, people, culture, systems - from the ground up. ✅ You’ll rethink product with AI at the core - how we research, prioritize, write specs, and ship in AI-native era ✅ You’ll work with a (founding team) that gets product deeply and expects you to lead it like a true partner. And most importantly: You won’t be adding AI as a layer. You’ll rebuild how products are researched, validated, written, and coordinated - as if AI was the starting point, not an afterthought. ⸻ 🛠 What You’ll Do Define and evolve the product narrative, vision, and strategy for the category we’re creating. Lead the shift to AI-native product development: Research with AI copilots surfacing hidden needs from qualitative data. Prioritization driven by customer signal, market resonance, and automated tagging. PRDs that are alive - embedded with usage data, prototypes, and auto-synced GTM insight. Close, confident loops with engineering - milestone-led, not backlog-bound. Collaborate across Sales, CS, Marketing, and Engineering to create real cross-functional momentum. ⸻ ✅ You’ll Thrive Here If You… Have 2–5 years in product, with 2+ in B2B SaaS. Have done 0→1 work - not just scale, but creation. Think in systems - you don’t just ship features, you shift how the team thinks and moves. Are obsessed with speed and clarity - no fluff, no delay, just precision and action. Love working with smart peers across GTM, engg, design - and don’t need to “convert” anyone to product. Are excited to define the future of product in the AI era - where tools think with you, not just for you. ⸻ ⚙️ Comp & Culture Strong equity for a true leadership seat. (Cash is lean until the next raise, expected in 3–6 months.) Hybrid: We believe early teams win with deep in-person energy. Expect 2–3 days/week in-office (Bay Area or Gurgaon). Culture built on brutal clarity, deep trust, zero-BS feedback. If you like playing politics, we’re not for you. ⸻ 📨 Want in? Apply! - we’d love to discuss the opportunity with you.
If you’re a PM who’s built enough feature specs and now wants to productize knowledge, not just software — Zime might be your next canvas. You’re not looking to push tickets across JIRA. You’re asking deeper questions: What if prompts were not just tools, but the product? What if playbooks weren’t static PDFs but living, modular GTM intelligence? What if you could shape how AI drives sales actions, not just summaries? What if you worked with CS, GTM, and product in one closed loop — where insight → ship → learn → improve happens in days, not quarters? Zime is building the next-gen GTM layer for enterprise sales, and we need a product mind who can architect how AI drives revenue, not just conversation. ⸻ 💡 Why This Role Is Unique This is not a feature PM job. You’ll be designing a system where every prompt is a node in an evolving GTM brain — modular, self-learning, and capable of surfacing red alerts before a pipeline dies. You’ll work directly with Sanchit (founder, ex-$100M exit, executive coach) and sit at the intersection of: AI prompting + NLP Sales GTM Internal CS workflows Customer playbook knowledge You won’t just write prompts. You’ll make them: Modular — one slot update = 50 clients updated Actionable — sales leaders act on what they read Self-serve — CS can deploy in minutes, not days Self-learning — each iteration teaches the next ⸻ 🧠 What You’ll Own Audit and rebuild the current prompt stack for clarity, modularity, UX, and low manual cost Build the Prompt Block Library — reusable components mapped to GTM concepts like objections, competitors, call stages, etc. Launch a CS-friendly config flow to spin up AI playbooks without engineering Build the feedback system: track what prompts worked, what failed, and why Partner with CS to deliver real customer success stories where AI playbooks saved pipeline Drive the information network across clients — where learnings from one objection shape all others ⸻ ✅ You’ll Thrive Here If You… Have 3–6 years of product, growth, or systems PM experience — ideally close to GTM, AI/NLP, or workflow automation Think like a product architect, not just a spec writer — you see systems, not features Can write and structure clearly: UX copy is part of your toolkit Love building reusable, scalable systems that reduce manual ops Are curious about how prompts become a product — and how to make them teach themselves Want a fast-learning loop with founder, CS, PMM, and GTM — not siloed specs ⸻ ⚙️ Comp & Culture Competitive ESOP package; lean salary until next raise (we’re post-revenue + backed by Z21 Ventures, AUM Ventures, and founders of Chargebee, Capillary, Skan) Hybrid: 2–3 days/week IRL in Gurgaon/Bangalore preferred No PM theater. Just velocity, context, and ownership Culture of systems thinkers, not process pushers ⸻ 🎯 Your 90-day Wins Rebuilt prompt stack that CS can ship without you 5 playbooks launched with real sales impact Modular prompt library + feedback engine in place A “How to write Zime-grade prompts” guide — that even Sanchit learns from 😉
About Zime Zime is on a mission to redefine how revenue teams operate with real-time, AI-guided playbooks and contextualized deal insights . We help CROs, RevOps leaders, and GTM teams close more revenue without increasing headcount . What You’ll Do Prospect and engage potential clients via email, LinkedIn, and inbound leads. Qualify opportunities through cold calls, emails, and social outreach. Set up qualified meetings for Account Executives. Research industries and prospect needs to tailor outreach. Track and update activities in Hubspot. Consistently achieve SQL targets. Collaborate with product marketing on outreach messaging. Handle inbound leads and guide them through initial qualification. What We’re Looking For 1–2 years in sales development, lead generation, or outbound prospecting ( SaaS/tech sales is a plus ) Strong written & verbal communication Familiarity with CRM and sales automation tools Proactive, target-driven, adaptable mindset Role Details 📍 Location: Bangalore ⏱️ Immediate joiner preferred (5–7 days) ✨ If you’re motivated, ambitious, and ready to grow in SaaS sales—this is your opportunity to make a real impact. Apply now and be part of Zime’s journey to redefine revenue operations!
Do you want to ride GenAI wave as a builder (& not just as an end user)? Are you an engineering visionary ready to lead the charge in revolutionizing the SaaS tech stack? Do you thrive on building innovative platforms and leading talented teams? If so, Zime.ai wants you on our team! About Zime.ai Zime.ai is a pre-seed funded company based in the Bay Area, California that helps sales leaders scale their sales teams. At Zime.ai, we're disrupting the SaaS landscape with our cutting-edge GenAI technology. Our mission is to build an AI-CRO (aka brain of the sales org) and then drive actions & results across GTM org. Our GenAI native platform is set to disrupt the entire SaaS landscape, and we need an exceptional AI Engineering Leader to bring this vision to life. Role Overview We are seeking a hands-on Senior AI engineer with deep expertise in building enterprise production grade AI solutions. Key Responsibilities * Design, develop, and optimize LLM pipelines using LangGraph and other orchestration tools. * Implement scalable RAG architectures to integrate internal and external knowledge bases. * Work with knowledge graphs to structure, enrich, and query data efficiently for LLM consumption. * Build and maintain AMA-style agents capable of answering complex domain-specific queries. * Fine-tune or prompt-engineer LLMs for performance, alignment, and reliability. * Collaborate with MLOps and infra teams to deploy models and pipelines in production. * Continuously evaluate model performance and iterate based on feedback and metrics. Required Skills * 5+ years of experience in applied machine learning, preferably with LLMs or NLP. * Strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks. * Solid understanding of RAG pipelines, vector stores, and prompt engineering. * Experience working with knowledge graphs. * Familiarity with LLMs such as OpenAI GPT, Gemini. Perks Innovative Environment: Be part of a GenAI-native company that’s driving disruption in the SaaS tech stack. Leadership Opportunity: Work directly with a 3x founder in an outcome-first and people-centric culture. Market Ready: Join a company with a defined market and problem, poised for exponential growth. Be part of the journey at the perfect time. Are you ready to drive the future with Zime.ai? Let’s disrupt the SaaS world together!
About Zime Zime.ai is a pre-seed funded company based in the Bay Area, California that helps sales leaders scale their sales teams using AI playbooks. At Zime.ai, we're disrupting the SAAS landscape with our cutting-edge GenAI technology. Our mission is to build an AI-playbook by analyzing past 100+ successful deals and then drive actions & results across the sales org. About the Role At Zime, we are seeking an Operations and Prompt Quality Specialist who will play a crucial role in managing daily business operations, overseeing product operations, evaluating prompt outputs, and supporting Generative AI training initiatives. This role sits at the intersection of operations, product quality, and prompt engineering, contributing directly to the refinement of AI-generated outputs and internal process excellence. Key Responsibilities: Manage day-to-day business operations to ensure smooth coordination, timely task execution, and workflow alignment across teams. Conduct quality evaluation of AI-generated prompt responses, ensuring outputs meet high standards of accuracy, relevance, and tone. Assist in Generative AI tuning and prompt training by identifying patterns, analyzing model behavior, and working closely with the product and prompt teams. Drive product operations by managing internal process documentation, task tracking, SOP creation, and continuous improvement efforts. Track task status, maintain operational dashboards, and provide timely reports to leadership on performance and areas for improvement. Collaborate across teams to align operational efforts with product objectives and customer expectations. Who is the Right Fit: Experience in business operations or product ops, with a strong sense of ownership and execution rigor. Familiarity with Generative AI, LLM outputs, or prompt-based models—comfortable evaluating the quality and intent alignment of generated responses. Analytical mindset with the ability to identify gaps in output quality, suggest improvements, and assist with prompt optimization. Strong skills in Google Sheets, documentation tools, and task-tracking platforms to organize and present data effectively. Excellent communication skills and the ability to work cross-functionally across operations, product, and technical teams. A proactive, detail-oriented individual who thrives in a fast-paced, evolving environment and is driven by outcomes and quality standards. Qualifications: Bachelor’s degree required; MBA or advanced degree is a plus. 1–2 years of experience in operations, product ops or a similar role - preferably in a tech or AI-led company. Exposure to Generative AI workflows, LLMs, or prompt engineering is a strong advantage. Strong time management and multitasking abilities in high-growth environments. Why Join Us? Work directly with the CEO on high-impact operational and AI-driven initiatives. Get hands-on experience with cutting-edge AI and prompt evaluation systems. High visibility in a collaborative, growth-oriented environment. Competitive compensation and meaningful learning opportunities. Hybrid setup: 3 days a week WFO from our Gurgaon office.
Ride the GenAI Wave — as a Builder, Not a Bystander Tired of CS roles that are either glorified support or total chaos? At Zime, CS is strategic. We’re building the AI-native system of intelligence for enterprise sales teams — and we’re looking for high-agency problem solvers to own delivery for our top accounts like HP, Versa & Innovaccer. This is not a ticketing job. You’ll work directly with founders, product, and engineering to: Drive customer outcomes Build reusable playbooks Influence what the product becomes Why Join Zime? Early team → Huge ownership, fast growth, zero bureaucracy World-class founders → Backed by top VCs & founders (Chargebee, Capillary, Skan) AI-native → We're not slapping AI on top. We’re building from the ground up Customers love us → Post-PMF expansion already happening Learning rocketship → GenAI + behavior science + full GTM exposure ESOPs → Skin in the game from day one. What You’ll Do Run onboarding + ongoing success for our top enterprise accounts Solve problems fast — sometimes before the customer sees them Influence product roadmap through real customer insights Track health, adoption, renewals, and upsell signals Partner with Sales/Marketing for expansion plays Build CS processes, content, and playbooks from scratch You’ll Thrive Here If You Have 3–6 years in CS / client delivery / consulting / ops Are calm in chaos — startup ambiguity doesn’t faze you Think like an owner: proactive, scrappy, hands-on Want to be part of a team that’s actually building the future of work Location * Gurgaon (preferred) — in-office 3 days/week
Company Description Zime helps sales leaders scale their teams by transforming traditional playbooks into dynamic Zimebooks. Our Zimebooks use Nudge theory to provide just-in-time actions, resulting in over 70% adoption across teams. This approach helps improve win rates by 8-12%, driving effective change management and consistent sales performance. We aim to solve the challenges of low playbook adoption and inconsistent sales, especially during team expansion. Role Description This is a full-time hybrid role for a Marketing Manager located in Gurugram with some work from home options available. The Marketing Manager will be responsible for developing and implementing marketing strategies, managing campaigns, conducting market research, and analyzing market trends. Additional duties include overseeing social media marketing, content creation, SEO, SEM, and email marketing. The role requires coordination with cross-functional teams to ensure the alignment of marketing efforts with overall business objectives. Qualifications Experience in Marketing strategies, Market Research, and Campaign Management Skills in SEO, SEM, Social Media Marketing, and Email Marketing Proficiency in Content Creation and Copywriting Ability to analyze Market Trends and metrics Excellent Project Management and Organizational skills Strong communication and interpersonal skills Ability to work both independently and collaboratively in a hybrid work environment Prior experience in the technology or sales industry is a plus Bachelor's degree in Marketing, Business, Communications, or a related field
If you’re a PM who’s built enough feature specs and now wants to productize knowledge, not just software — Zime might be your next canvas. You’re not looking to push tickets across JIRA. You’re asking deeper questions: What if prompts were not just tools, but the product? What if playbooks weren’t static PDFs but living, modular GTM intelligence? What if you could shape how AI drives sales actions, not just summaries? What if you worked with CS, GTM, and product in one closed loop — where insight → ship → learn → improve happens in days, not quarters? Zime is building the next-gen GTM layer for enterprise sales, and we need a product mind who can architect how AI drives revenue, not just conversation. ⸻ 💡 Why This Role Is Unique This is not a feature PM job. You’ll be designing a system where every prompt is a node in an evolving GTM brain — modular, self-learning, and capable of surfacing red alerts before a pipeline dies. You’ll work directly with Sanchit (founder, ex-$100M exit, executive coach) and sit at the intersection of: AI prompting + NLP Sales GTM Internal CS workflows Customer playbook knowledge You won’t just write prompts. You’ll make them: Modular — one slot update = 50 clients updated Actionable — sales leaders act on what they read Self-serve — CS can deploy in minutes, not days Self-learning — each iteration teaches the next ⸻ 🧠 What You’ll Own Audit and rebuild the current prompt stack for clarity, modularity, UX, and low manual cost Build the Prompt Block Library — reusable components mapped to GTM concepts like objections, competitors, call stages, etc. Launch a CS-friendly config flow to spin up AI playbooks without engineering Build the feedback system: track what prompts worked, what failed, and why Partner with CS to deliver real customer success stories where AI playbooks saved pipeline Drive the information network across clients — where learnings from one objection shape all others ⸻ ✅ You’ll Thrive Here If You… Have 3–6 years of product, growth, or systems PM experience — ideally close to GTM, AI/NLP, or workflow automation Think like a product architect, not just a spec writer — you see systems, not features Can write and structure clearly: UX copy is part of your toolkit Love building reusable, scalable systems that reduce manual ops Are curious about how prompts become a product — and how to make them teach themselves Want a fast-learning loop with founder, CS, PMM, and GTM — not siloed specs ⸻ ⚙️ Comp & Culture Competitive ESOP package; lean salary until next raise (we’re post-revenue + backed by Z21 Ventures, AUM Ventures, and founders of Chargebee, Capillary, Skan) Hybrid: 2–3 days/week IRL in Gurgaon/Bangalore preferred No PM theater. Just velocity, context, and ownership Culture of systems thinkers, not process pushers ⸻ 🎯 Your 90-day Wins Rebuilt prompt stack that CS can ship without you 5 playbooks launched with real sales impact Modular prompt library + feedback engine in place A “How to write Zime-grade prompts” guide — that even Sanchit learns from 😉
Ride the GenAI Wave — as a Builder, Not a Bystander Tired of CS roles that are either glorified support or total chaos? At Zime, CS is strategic. We’re building the AI-native system of intelligence for enterprise sales teams — and we’re looking for high-agency problem solvers to own delivery for our top accounts like HP, Versa & Innovaccer. This is not a ticketing job. You’ll work directly with founders, product, and engineering to: Drive customer outcomes Build reusable playbooks Influence what the product becomes Why Join Zime? Early team → Huge ownership, fast growth, zero bureaucracy World-class founders → Backed by top VCs & founders (Chargebee, Capillary, Skan) AI-native → We're not slapping AI on top. We’re building from the ground up Customers love us → Post-PMF expansion already happening Learning rocketship → GenAI + behavior science + full GTM exposure ESOPs → Skin in the game from day one. What You’ll Do Run onboarding + ongoing success for our top enterprise accounts Solve problems fast — sometimes before the customer sees them Influence product roadmap through real customer insights Track health, adoption, renewals, and upsell signals Partner with Sales/Marketing for expansion plays Build CS processes, content, and playbooks from scratch You’ll Thrive Here If You Have 3–6 years in CS / client delivery / consulting / ops Are calm in chaos — startup ambiguity doesn’t faze you Think like an owner: proactive, scrappy, hands-on Want to be part of a team that’s actually building the future of work Location: Gurgaon — in-office 3 days/week
About Zime Zime.ai is a pre-seed funded company based in the Gurgaon (and Bay Area, California), that helps sales leaders scale their sales teams using AI playbooks. At Zime.ai, we're disrupting the SAAS landscape with our cutting-edge GenAI technology. Our mission is to build an AI-playbook by analyzing past 100+ successful deals and then drive actions & results across the sales org. About the Role At Zime we are seeking an Operations and Prompt Quality Specialist who will play a crucial role in managing daily business operations, overseeing product operations, evaluating prompt outputs, and supporting Generative AI training initiatives. This role sits at the intersection of operations, product quality, and prompt engineering, contributing directly to the refinement of AI-generated outputs and internal process excellence. Key Responsibilities: Manage day-to-day business operations to ensure smooth coordination, timely task execution, and workflow alignment across teams. Conduct quality evaluation of AI-generated prompt responses, ensuring outputs meet high standards of accuracy, relevance, and tone. Assist in Generative AI tuning and prompt training by identifying patterns, analyzing model behavior, and working closely with the product and prompt teams. Drive product operations by managing internal process documentation, task tracking, SOP creation, and continuous improvement efforts. Track task status, maintain operational dashboards, and provide timely reports to leadership on performance and areas for improvement. Collaborate across teams to align operational efforts with product objectives and customer expectations. Who is the Right Fit: Experience in business operations or product ops, with a strong sense of ownership and execution rigor. Familiarity with Generative AI, LLM outputs, or prompt-based models—comfortable evaluating the quality and intent alignment of generated responses. Analytical mindset with the ability to identify gaps in output quality, suggest improvements, and assist with prompt optimization. Strong skills in Google Sheets, documentation tools, and task-tracking platforms to organize and present data effectively. Excellent communication skills and the ability to work cross-functionally across operations, product, and technical teams. A proactive, detail-oriented individual who thrives in a fast-paced, evolving environment and is driven by outcomes and quality standards. Qualifications: Bachelor’s degree required; MBA or advanced degree is a plus. 1–2 years of experience in operations, product ops or a similar role - preferably in a tech or AI-led company. Exposure to Generative AI workflows, LLMs, or prompt engineering is a strong advantage. Strong time management and multitasking abilities in high-growth environments. Why Join Us? Work directly with the CEO on high-impact operational and AI-driven initiatives. Get hands-on experience with cutting-edge AI and prompt evaluation systems. High visibility in a collaborative, growth-oriented environment. Competitive compensation and meaningful learning opportunities. Hybrid setup: 3 days a week WFO from our Gurgaon office.
Ride the GenAI Wave — as a Builder, Not a Bystander Tired of CS roles that are either glorified support or total chaos? At Zime, CS is strategic. We’re building the AI-native system of intelligence for enterprise sales teams — and we’re looking for high-agency problem solvers to own delivery for our top accounts like HP, Versa & Innovaccer. This is not a ticketing job. You’ll work directly with founders, product, and engineering to: Drive customer outcomes Build reusable playbooks Influence what the product becomes Why Join Zime? Early team → Huge ownership, fast growth, zero bureaucracy World-class founders → Backed by top VCs & founders (Chargebee, Capillary, Skan) AI-native → We're not slapping AI on top. We’re building from the ground up Customers love us → Post-PMF expansion already happening Learning rocketship → GenAI + behavior science + full GTM exposure ESOPs → Skin in the game from day one. What You’ll Do Run onboarding + ongoing success for our top enterprise accounts Solve problems fast — sometimes before the customer sees them Influence product roadmap through real customer insights Track health, adoption, renewals, and upsell signals Partner with Sales/Marketing for expansion plays Build CS processes, content, and playbooks from scratch You’ll Thrive Here If You Have ~3 years in CS / client delivery / consulting / ops Are calm in chaos — startup ambiguity doesn’t faze you Think like an owner: proactive, scrappy, hands-on Want to be part of a team that’s actually building the future of work Location: Gurgaon — in-office 3 days/week
About Zime Zime is on a mission to redefine how revenue teams operate with real-time, AI-guided playbooks and contextualized deal insights. We help CROs, RevOps leaders, and GTM teams close more revenue without increasing headcount. We’re looking for a creative Graphic Designer to join our Product Marketing and Growth team. This role will shape Zime’s brand identity across all touchpoints — from social media campaigns to enterprise sales collateral — and help us stand out in a crowded category. What You’ll Do Branding: Own and evolve Zime’s visual identity across all channels (website, decks, campaigns, and digital presence). Marketing Design: Create compelling visuals for product marketing initiatives (launches, comparison pages, sales enablement decks, infographics, case studies). Social Media: Design engaging graphics, carousels, and visuals optimized for LinkedIn, X, and other relevant channels. Creative Storytelling: Collaborate with PMM and Growth to translate narratives into visually striking campaigns. Motion/Video (Bonus): Edit short-form video content (social snippets, product teasers, customer stories) to elevate our brand presence. What We’re Looking For 2–4 years of experience in graphic design, preferably in B2B SaaS or technology companies . Strong portfolio demonstrating brand building and consistency across multiple formats. Proficiency in Adobe Creative Suite, Figma, or similar tools . Familiarity with design for social media marketing and digital campaigns . Ability to balance creativity with business objectives in fast-paced GTM and PMM environments. Strong eye for typography, color, and visual hierarchy. Bonus: Experience with video editing/motion graphics (Premiere Pro, After Effects, or similar). Why Zime? Shape the brand identity of a fast-growing AI company redefining sales execution. Work closely with Product Marketing, Growth, and Leadership on high-impact initiatives. Opportunity to own design end-to-end , not just execute tasks. Flexible work environment with a team that values creativity, autonomy, and innovation.
Do you want to ride GenAI wave as a builder (& not just as an end user)? Are you an engineering visionary ready to lead the charge in revolutionizing the SaaS tech stack? Do you thrive on building innovative platforms and leading talented teams? If so, Zime.ai wants you on our team! About Zime.ai Zime.ai is a pre-seed funded company based in the Bay Area, California that helps sales leaders scale their sales teams. At Zime.ai, we're disrupting the SaaS landscape with our cutting-edge GenAI technology. Our mission is to build an AI-CRO (aka brain of the sales org) and then drive actions & results across GTM org. Our GenAI native platform is set to disrupt the entire SaaS landscape, and we need an exceptional AI Engineering Leader to bring this vision to life. Role Overview We are seeking a hands-on Senior AI engineer with deep expertise in building enterprise production grade AI solutions. Key Responsibilities * Design, develop, and optimize LLM pipelines using LangGraph and other orchestration tools. * Implement scalable RAG architectures to integrate internal and external knowledge bases. * Work with knowledge graphs to structure, enrich, and query data efficiently for LLM consumption. * Build and maintain AMA-style agents capable of answering complex domain-specific queries. * Fine-tune or prompt-engineer LLMs for performance, alignment, and reliability. * Collaborate with MLOps and infra teams to deploy models and pipelines in production. * Continuously evaluate model performance and iterate based on feedback and metrics. Required Skills * 5+ years of experience in applied machine learning, preferably with LLMs or NLP. * Strong proficiency in Python, with hands-on experience in LangChain, LangGraph, or similar frameworks. * Solid understanding of RAG pipelines, vector stores, and prompt engineering. * Experience working with knowledge graphs. * Familiarity with LLMs such as OpenAI GPT, Gemini. Perks Innovative Environment: Be part of a GenAI-native company that’s driving disruption in the SaaS tech stack. Leadership Opportunity: Work directly with a 3x founder in an outcome-first and people-centric culture. Market Ready: Join a company with a defined market and problem, poised for exponential growth. Be part of the journey at the perfect time. Are you ready to drive the future with Zime.ai? Let’s disrupt the SaaS world together!
About ZimeAI ZimeAI is building cutting-edge AI-powered solutions that help businesses scale. We are a fast-moving startup where priorities shift quickly, chaos is part of the process, and challenges surface daily. We are looking for a Senior QA Engineer who thrives in such an environment—someone who doesn't just test features but ensures quality is built into every bit of our product development process . If you're excited about owning the quality charter, collaborating with product and engineering to release reliable software, and setting up both manual and automated testing frameworks , we'd love to talk to you. Responsibilities Own the end-to-end quality strategy for multiple products, from requirements to release. Define, implement, and maintain test automation frameworks for web, backend, and API layers. Validate features through manual exploratory testing to uncover edge cases and integration gaps. Collaborate closely with developers and product managers to ensure requirements are testable and complete . Prevent regressions by establishing smoke tests, integration tests, and regression suites . Ensure PRs meet a quality bar by aiding developers in r eviews, test cases, and coverage discussions . Drive root cause analysis of production issues and feed learnings back into development practices. Foster a quality-first mindset across the team , educate engineers about testing, CI/CD quality gates, and release discipline. Work comfortably in highly uncertain, dynamic startup conditions where documentation may lag and processes are evolving. Requirements 5+ years of experience in testing software products with at least 2+ years in automation . Strong knowledge of automation frameworks (e.g., Selenium, Cypress, Playwright, Appium, PyTest). Experience testing REST/GraphQL APIs and microservices. Solid background in test planning, writing test cases, and executing test strategies . Proven track record of breaking complex systems and identifying subtle integration issues. Comfort with fast-paced startup environments —able to adapt quickly with minimal structure. Working knowledge of CI/CD pipelines and integrating automated tests into them. Strong debugging, analytical, and problem-solving skills. Excellent collaboration skills and ability to work proactively across teams . Nice to Have Experience with performance testing tools (e.g., JMeter, Gatling, Locust). Exposure to AI/ML products or data-intensive platforms. Familiarity with Docker/Kubernetes environments . Background in helping teams adopt testing best practices and scaling QA processes from scratch. What We Offer Opportunity to own the quality charter at ZimeAI from the ground up. A f ast-paced, high-growth environment —your work will have instant impact. Flat, open, and collaborative culture where ideas are welcomed. Competitive compensation with equity options. Flexibility with hybrid-friendly work culture.
About ZimeAI At ZimeAI, we are building cutting-edge AI solutions that empower organizations to make faster, smarter, and more confident decisions. We operate in a high-growth, fast-paced startup environment where innovation, adaptability, and execution are critical. We are looking for a passionate Senior Software Engineer (Technical Lead) who can lead from the front, bring structure amidst chaos, and drive our engineering team towards building reliable, scalable, and high-quality software. Role As a Senior Software Engineer (Technical Lead), you will be responsible for leading product development end-to-end—design, architecture, implementation, release, and operations. You will serve as a trusted mentor to the team, enabling engineers to grow their skills while ensuring the delivery of impactful, production-ready solutions. You will thrive in ambiguity, operate well under uncertainty, and balance strategic thinking with execution. Key Responsibilities Lead the design, development, and release of high-quality software products with a focus on performance, reliability, and scalability. Guide, mentor, and inspire a team of engineers to solve complex technical problems with curiosity and rigor. Drive engineering best practices including code quality, testing strategies, CI/CD, observability, and monitoring across the lifecycle. Foster a culture of collaboration, feedback, knowledge-sharing, and accountability. Work closely with product, design, and business stakeholders to translate ideas into technical solutions and shipped products. Operate effectively in a fast-paced, often unstructured environment, making independent and robust technical decisions. Identify, evaluate, and adopt the right tools/frameworks/languages needed to solve evolving business and technical problems. Establish strong engineering principles around system design, architecture, and release processes. Champion monitoring, incident management, and production-readiness, ensuring faster detection and resolution of issues. Balance immediate execution needs with long-term technical vision, scaling systems and processes as the company grows. What We Are Looking For 7+ years of software engineering experience, with at least 2–3 years in a tech lead or senior role. Deep expertise in modern programming languages and frameworks (e.g., Python, Java, Go, Node.js, React, etc.). Strong understanding of distributed systems, microservices architectures, databases, and system design principles. Hands-on experience building resilient, observable, and highly-available systems in production environments. Proven ability to thrive in chaos—adaptable, decisive, and proactive in environments with uncertainty and changing priorities. Track record of leading engineering initiatives from conception to delivery in a fast-paced startup or scale-up. Strong problem-solving skills with ability to break down complex challenges into achievable outcomes. Excellent collaboration and communication skills, able to bridge the gap between technical and non-technical teams. Passion for mentoring and developing engineers by leading through example. Growth mindset with eagerness to learn, experiment, and improve continuously. Nice to Have Previous experience in an early-stage startup. Exposure to cloud platforms (AWS, GCP, or Azure), DevOps, containerization (Docker/Kubernetes), and observability stacks. Understanding of AI/ML workflows or interest in working at the intersection of AI and software engineering. What We Offer Opportunity to shape the future of AI technology and make a meaningful impact. A high-growth startup environment with autonomy and ownership. Highly collaborative team culture where your voice matters. Competitive compensation with equity options. Flexibility with hybrid-friendly work culture.