Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We are seeking a highly skilled and experienced Staff Software Engineer with a passion for embedded systems development to join our innovative engineering team. In this role, you will be instrumental in designing, developing, and implementing software for our embedded platforms, potentially including Linux-based systems, small handheld devices, and more. Your expertise in areas like kernel development, device drivers, audio drivers, and single-board computers will be invaluable in shaping the future of our products. Key Responsibilities: Design, develop, and debug software for embedded Linux-based systems. Develop and maintain device drivers for various hardware peripherals on Linux. Investigate and implement solutions related to native audio drivers on Linux or Windows platforms. Develop software applications and system-level code for platforms similar to Raspberry Pi. Design and implement efficient and robust software for small, resource-constrained handheld devices. Participate in the full software development lifecycle, including requirements analysis, design, implementation, testing, and deployment Collaborate closely with hardware engineers to integrate software with embedded hardware. Optimize software for performance, power consumption, and memory footprint on embedded targets. Participate in code reviews and contribute to the improvement of our software development processes. Troubleshoot and resolve complex software issues on embedded systems. Contribute to technical documentation for software designs and implementations. Mentor and guide junior engineers on embedded systems development best practices. Stay up-to-date with the latest advancements in embedded systems technologies and trends. Must have qualifications: Proven experience (8-12 years overall software development experience) with a significant focus on embedded systems programming. Strong experience with Linux kernel development, including kernel configuration, module development, and debugging. Experience in developing device drivers for Linux (e.g., character drivers, network drivers, USB drivers). Hands-on experience working with native audio subsystems on Linux (e.g., ALSA) or Windows. Experience developing software for single-board computers like Raspberry Pi, BeagleBone, or similar platform Experience in developing software for small, battery-powered handheld devices with resource constraints. Strong proficiency in programming languages such as C and C++ Experience with embedded development tools and environments (e.g., cross-compilers, debuggers, emulators). Familiarity with communication protocols commonly used in embedded systems (e.g., I2C, SPI, UART, USB). Understanding of real-time operating systems (RTOS) concepts is a plus. Experience with build systems like Yocto Project or Buildroot is a plus. Familiarity with power management techniques in embedded systems. Experience with testing and validation methodologies for embedded software. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred qualifications: Experience with specific processor architectures (e.g., ARM, x86) used in embedded systems. Contributions to open-source embedded projects. Experience with security considerations in embedded systems development. Familiarity with hardware description languages (HDLs) like Verilog or VHDL Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. As the Head of Worldwide Procurement, you will design and implement an innovative global procurement strategy that leverages cutting-edge technologies to drive efficiency, cost savings, and supply chain resilience. With a particular focus on SaaS-centric US and Bangalore operations, youll optimize processes across our global offices. This is a unique opportunity to build a modern procurement function from the ground up while working closely with our executive team to support our rapid growth trajectory. Key Responsibilities : Design and execute a comprehensive global procurement strategy aligned with company objectives and growth plans Lead the implementation of advanced procurement technologies, including AI-powered spend analytics, automated vendor management, and intelligent forecasting tools Design and optimize procurement workflows using RPA (Robotic Process Automation) to eliminate manual tasks and increase efficiency Implement and improve modern travel and expense management systems across all global offices, ensuring compliance, cost control, and positive employee experience Develop sophisticated decision frameworks for determining optimal procurement entities (US vs. India vs. Philippines vs. LATAM) based on tax implications, cost-plus markup considerations, and operational efficiency Build strategic partnerships with key suppliers across global markets while implementing data-driven vendor evaluation frameworks Negotiate favorable terms with software engineering contractors in India, partnering closely with Engineering leadership and HR team Optimize agreements with independent contractors globally through platforms like Deel and Rippling Secure competitive rates for US marketing and advertising services Identify and execute cost-saving opportunities through advanced analytics, strategic sourcing, and contract negotiation Develop proactive risk assessment methodologies using predictive analytics to ensure supply chain resilience Partner with Finance, Legal, IT, and other departments to ensure procurement initiatives support broader business goals Establish modern procurement policies that balance agility with appropriate controls Implement real-time dashboards and KPIs to track and communicate procurement performance and business impact Create compelling presentations and reports for executive leadership, translating procurement metrics and initiatives into strategic business impact Qualifications : 8+ years of procurement experience with at least 3 years in a leadership role in SaaS-centric US and Bangalore environments Bachelors degree required; MBA or advanced degree in Supply Chain Management preferred Professional certifications such as CPSM, CPM, CSCP, or equivalent are a plus Fluent in English; proficiency in Kannada is a strong plus Demonstrated experience implementing and utilizing AI or RPA solutions in procurement processes with measurable results Proficiency with modern procurement technologies across global environments Strong understanding of both India and US SaaS procurement practices, cost-plus markup models, and multi-entity procurement strategies Experience optimizing travel and expense management systems and processes across global offices Proven track record negotiating with software engineering contractors in India (collaborating with Engineering leadership and HR), global independent contractors, and US marketing vendors Proven history of personally implementing new procurement and financial tools from selection through adoption Exceptional presentation skills with demonstrated ability to create compelling executive-level materials and influence senior leadership decisions Experience building procurement functions in global organizations with diverse category requirements Knowledge of procurement regulations and tax implications across multiple countries (US, India, Philippines, and Latin America) Strong understanding of digital transformation in procurement and supply chain operations Data-driven mindset with experience leveraging analytics for strategic decision-making Excellent communication skills with the ability to influence stakeholders across different levels and geographies Technical Competencies : AI/ML Applications: Experience with AI-powered spend analytics, predictive sourcing, or cognitive procurement advisors RPA Implementation: Hands-on experience implementing RPA for procurement processes (e.g., using UiPath, Automation Anywhere, Blue Prism) Travel & Expense Systems: Proficiency with modern T&E platforms (e.g., Concur, Expensify, TripActions/Navan) Early-Stage Financial Systems: Experience with Bill.com , Ramp, Quickbooks, and Zoho, while understanding the procurement system evolution path toward more sophisticated tools used by Series C+ companies Advanced Analytics: Proficiency with data visualization tools (Tableau, Power BI) and procurement analytics platforms Digital Procurement Platforms: In-depth knowledge of cloud-based procurement solutions and their implementation Multi-Entity Financial Systems: Experience with financial systems that support complex, multi-entity procurement strategies API Integration: Understanding of system integration concepts to connect procurement platforms with other business systems Global Contractor Management: Experience with platforms like Deel, Rippling, and other international contractor management solutions Marketing Procurement: Knowledge of digital marketing procurement practices, ad platforms, and agency relationship management Smart Contracts: Knowledge of blockchain and smart contract applications in procurement (desirable) Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We re looking for a sharp, hands-on Data Engineer to help us build and scale the data infrastructure that powers cutting-edge audio and speech AI products. You ll be responsible for designing robust pipelines, managing high-volume audio data, and enabling machine learning teams to access the right data fast. As one of the first dedicated data engineers on the team, youll play a foundational role in shaping how we handle data end-to-end, from ingestion to training-ready features. Youll work closely with ML engineers, research scientists, and product teams to ensure data is clean, accessible, and structured for experimentation and production. Key Responsibilities : Build scalable, fault-tolerant pipelines for ingesting, processing, and transforming large volumes of audio and metadata. Design and maintain ETL workflows for training and evaluating ML models, using tools like Airflow or custom pipelines. Collaborate with ML research scientists to make raw and derived audio features (e.g., spectrograms, MFCCs) efficiently available for training and inference. Manage and organize datasets, including labeling workflows, versioning, annotation pipelines, and compliance with privacy policies. Implement data quality, observability, and validation checks across critical data pipelines. Help optimize data storage and compute strategies for large-scale training. Qualifications : 2-5 years of experience as a Data Engineer, Software Engineer, or similar role with a focus on data infrastructure. Proficient in Python, SQL, and working with distributed data processing tools (e.g., Spark, Dask, Beam). Experience with cloud data infrastructure (AWS/GCP), object storage (e.g.,S3), and data orchestration tools. Familiarity with audio data and its unique challenges (large file sizes, time-series features, metadata handling) is a strong plus. Comfortable working in a fast-paced, iterative startup environment where systems are constantly evolving. Strong communication skills and a collaborative mindset you ll be working cross-functionally with ML, infra, and product teams. Nice to Have : Experience with data for speech models like ASR, TTS, or speaker verification. Knowledge of real-time data processing (e.g., Kafka, WebSockets, or low-latency APIs). Background in MLOps, feature engineering, or supporting model lifecycle workflows. Experience with labeling tools, audio annotation platforms, or human-in-the-loop systems. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. This position requires a deep understanding of machine learning model behavior, strong attention to detail, and a passion for building high-quality AI systems. We are seeking a Model QA Engineer with hands-on experience in evaluating real-time speech and language models. In this role, you ll act as the first line of defense for ensuring the performance, stability, and reliability of our deployed AI systems. You ll work closely with Machine Learning Researchers, Data Analysts, and Product Managers to detect regressions, surface edge cases, and deliver actionable insights that help shape future models. Key Responsibilities: Conduct end-to-end evaluation of ML models through structured listening tests, regression analysis, and failure case identification Analyze customer call recordings to replicate issues and validate model behavior across different environments and configurations Participate in internal dogfooding, model AB testing, and cross-version comparisons with clear documentation of findings Collaborate with research teams to debug, interpret and report model output anomalies Curate diverse, representative datasets for recurring QA evaluations and benchmarks Maintain quality and consistency in evaluation documentation, ensuring traceability and reproducibility of results Track ongoing model performance and provide timely reports highlighting areas of improvement or risk Assist in QA automation efforts to streamline model evaluation workflows over time Must have qualifications: 2+ years of experience in a QA, Model QA, Speech Evaluation, or ML testing role Familiarity with speech/audio quality concepts (e.g., fidelity, intelligibility, latency, robustness) Experience working with audio listening tools (Audacity, Praat) and evaluation metrics (PESQ, STOI, MOS etc.) Excellent communication skills and the ability to write structured, actionable feedback for technical teams Proven ability to identify subtle performance issues in AI model outputs Comfortable working with large datasets (CSV, JSON) and using tools like Excel, Google Sheets or Python for analysis Highly detail-oriented with a proactive and investigative mindset Preferred qualifications: Background in linguistics, phonetics, audio engineering, or speech science Experience working in cross-functional ML product teams Exposure to ASR, TTS, or real-time audio systemsFamiliarity with tools like Git, Jira, Notion, or Confluence Understanding of ML model deployment cycles and CI/CD pipelines Prior experience with annotation platforms or feedback loop systems for ML models Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We are seeking a highly motivated and experienced Senior DevOps Engineer to join our team and play a key role in building and maintaining robust and efficient DevOps pipelines for our high-scale SaaS applications, including our Admin Portal. You will be instrumental in automating our software delivery processes, ensuring the reliability and performance of our development and production environments, implementing comprehensive observability, and maintaining stringent pipeline SLAs. Key Responsibilities: Design, build, and maintain CI/CD pipelines for both development and production environments, ensuring speed, reliability, and security. Drive automation across the software development lifecycle, including build processes, testing, infrastructure provisioning, and deployments. Develop and maintain automation scripts and tools using Python or other relevant scripting languages. Define and maintain Service Level Agreements (SLAs) for our DevOps pipelines, ensuring timely and efficient software delivery. Implement and manage comprehensive observability systems for production pipelines, including monitoring, logging, and alerting. Integrate various development and operations tools to create seamless and automated workflows. Design and implement tools and processes to improve the efficiency and effectiveness of our DevOps practices. Collaborate closely with development, QA, and infrastructure teams to ensure smooth and efficient software releases. Troubleshoot and resolve issues related to the DevOps pipelines and deployment processes in both development and production environments. Implement and maintain infrastructure as code (IaC) using tools like Terraform or CloudFormation. Ensure the security and compliance of our CI/CD pipelines and deployment processes. Participate in on-call rotations to support production deployments and pipeline stability. Mentor and guide junior DevOps engineers on best practices and automation techniques. Continuously evaluate and adopt new DevOps tools and methodologies to improve our processes. Must have qualifications: Bachelors degree in Computer Science or a related field. Proven experience (3-8 years) as a DevOps Engineer or in a similar role. Strong experience in designing, building, and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, CircleCI, or similar. Proficient in Python programming and scripting for automation tasks. Solid understanding of version control systems (e.g., Git) and build systems (e.g., Maven, Gradle, npm, yarn). Experience with integrating various development and operations tools. Demonstrated ability to design and implement automation solutions for software delivery and infrastructure management. Experience in defining and supporting systems based on SLAs. Strong understanding of observability principles and experience implementing monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack, CloudWatch, Azure Monitor, Google Cloud Monitoring). Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes, AWS EKS preferred). Familiarity with cloud platforms (AWS, Azure, or GCP).Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. Preferred qualifications: Experience with specific tools used in our environment (mention relevant tools like Terraform, CloudFormation, Kafka, etc.). Experience with security best practices in CI/CD pipelines. Experience with performance testing and optimization within the deployment process. Familiarity with incident management and root cause analysis. Contributions to open-source DevOps projects. Relevant cloud certifications (e.g., AWS Certified DevOps Engineer - Professional). Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We are seeking a highly skilled and experienced Senior Software Engineer to play a pivotal role in the development and evolution of our flagship desktop application, especially in the macOS environment. You will leverage your deep expertise in Flutter, and RESTful API integration to contribute to the design, implementation, and optimization of key features across our SDK and frontend. This role offers an exciting opportunity to tackle complex technical challenges and make significant contributions to a high-impact product. Key Responsibilities: Contribute to the architectural design and implementation of the desktop application, focusing on the SDK, Flutter frontend, and their interaction with backend systems via REST APIs. Develop and enhance the Flutter-based user interface, ensuring a responsive and intuitive user experience. Implement and integrate with RESTful APIs to communicate with backend services (Authentication, PostgreSQL, Clickhouse, etc.). Ensure the performance, reliability, and scalability of the application components you contribute to. Write comprehensive unit and integration tests to ensure code quality. Participate actively in code reviews, providing and receiving constructive feedback. Troubleshoot and debug complex issues spanning the frontend, SDK, and backend interactions. Collaborate closely with other engineers, architects, and product managers to deliver high-quality software. Contribute to technical documentation and knowledge sharing within the team. Stay up-to-date with the latest advancements in Flutter, and related technologies. Must have qualifications: Bachelors or Masters degree in Computer Science or a related field. 4+ years in software development. Deep expertise in at least one of the core areas: Flutter frontend development, or RESTful API integration. Strong understanding of software development principles, design patterns, and best Xcode and macOS Build System. Familiarity with the macOS development environment and build processes. Packaging and Distribution (.app bundles, notarization): Understanding macOS application packaging and security requirements. Experience with cross-platform desktop application development is a plus. Familiarity with database systems such as PostgreSQL and Clickhouse. Proficiency with version control systems (e.g., Git). Excellent problem-solving, analytical, and communication skills. Ability to work effectively both independently and as part 1 of a collaborative team.. Preferred qualifications: Experience with performance optimization techniques for desktop applications. MacOS Human Interface Guidelines: Adhering to macOS UI/UX conventions. Cocoa/Objective-C/Swift (Potentially): If the C++ backend needs deep integration with macOS-specific APIs. Familiarity with build systems and CI/CD pipelines for desktop application deployment. Contributions to open-source projects in C++ or Flutter. Experience with other frontend or backend technologies. Experience in an agile development environment. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. Job Description: As a Senior Automation Engineer - Desktop Automation you are going to play a critical role in the development and implementation of technology solutions that align with our organizations strategic goals. Develop and implement robust automation test scripts for web portal applications. Key Responsibilities: Hands-on experience in Automation QA. Proficient in automating both Windows-based desktop applications Programming Languages: Strong proficiency in either Selenium with Python Framework Development: Proven experience in creating automation frameworks from scratch. Ability to generate comprehensive test reports and documentation. CI/CD/CT: Familiarity with Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing (CT) methodologies. Qualifications: Develop and implement robust automation test scripts for Windows-based desktop applications Ensure the reliability, scalability, and maintainability of automation frameworks. Utilize Selenium with either Python to create efficient and effective automated test scripts. Stay updated on the latest industry trends and best practices in automation testing. Create and maintain automation frameworks tailored to the specific needs of the projects. Implement best practices to enhance the modularity and reusability of the automation codebase. Generate detailed test reports, including test execution summaries and defect tracking. Collaborate with cross-functional teams to communicate test results and project status. Integrate automated tests into CI/CD pipelines for efficient and continuous testing. Collaborate with the development team to ensure seamless integration with the development process. Provide guidance and mentorship to junior QA engineers. Conduct knowledge-sharing sessions and contribute to the growth of the QA team. Preferred Skills: Bachelors degree in Computer Science, Engineering, or related field. 3-5 Proven experience in automation testing of desktop applications. Strong programming skills in Python. Experience in creating automation frameworks from scratch. Excellent communication and collaboration skills. Strong problem-solving and analytical skills. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

Requirements: Bachelor s degree in Computer Science, Information Technology or a related field Strong understanding of OS, networking basics & Linux command-line usage Proficiency in at least one scripting language such as Python or Bash Basic knowledge of cloud computing concepts (AWS preferred) Familiarity with DevOps principles like CI/CD, automation & cloud infrastructure management is a plus Awareness of version control systems like Git Technical Skills (Good to have; Not mandatory): Exposure to cloud platforms (preferably AWS) and infrastructure services (e.g., EC2, S3, RDS, Kubernetes) Understanding of Infrastructure as Code concepts; Knowledge on Terraform is a plus Basic knowledge of CI/CD tools like GitLab or AzureDevOps Awareness of monitoring concepts and observability tools (e.g., New Relic, Grafana) Basic knowledge about containerization, automation or data/ML infra tools (e.g., Docker, Ray, Dagster, Weights & Biases) is an advantage Exposure to scripting tasks for automation and ops workflows using Python What youll learn being part of Sanas: Real-world experience managing cloud infrastructure (AWS, Azure) & COLO datacenter Infrastructure automation using Terraform and Python CI/CD pipeline development and management with GitLab and Spinnaker Observability and monitoring with New Relic, Grafana and custom alerting mechanisms Working with cutting-edge tooling in ML/AI infra (Ray, Dagster, W&B) and data analytics (ClickHouse, Aurora PostgreSQL) Agile delivery models & collaboration with Engineering, Science, InfoSec and ML teams What We Offer: Hands-on experience with modern DevOps practices and enterprise cloud architecture Mentorship from experienced DevOps engineers Exposure to a scalable infrastructure supporting production-grade AI and ML workloads Opportunity to contribute to automation, reliability and security for systems Participate in occasional on-call rotation to maintain system availability A collaborative & fast-paced learning environment where your work directly supports engineering and innovation

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. The Account Manager is responsible for building and maintaining strong, long-term relationships with clients or customers. They serve as the primary point of contact between the company and its clients, ensuring that the clients needs and expectations are met while also identifying opportunities for growth and expansion. Key Responsibilities: Build and nurture strong, trust-based relationships with assigned clients to drive product adoption and satisfaction. Serve as the primary liaison for client communications, ensuring seamless coordination and responsiveness. Proactively engage with clients to deeply understand their goals, workflows, and ongoing challenges. Focus on driving feature adoption and usage expansion by aligning product capabilities with client objectives. Identify and act on opportunities to deepen client engagement through best-practice implementation, education, and enablement. Define, monitor, and report on adoption-focused KPIs such as activation rates, feature utilization, and engagement health. Collaborate cross-functionally with internal teams (e.g., Product, Support, Engineering) to deliver impactful solutions that increase stickiness and value. Continuously advocate for enhancements that maximize the product s utility, relevance, and effectiveness in the clients environment. Qualifications: Bachelors degree in business, marketing, or a related field (Masters degree may be preferred).5+ years proven experience as an Account Manager or in a similar client-facing role. Strong communication, negotiation, and interpersonal skills. Excellent problem-solving and decision-making abilities. Ability to manage multiple clients and projects simultaneously. Knowledge of the industry and the companys products or services. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future