Senior Staff Software Engineer

Who We Are

Ema is building the next generation of AI solutions to transform enterprise productivity by automating document-intensive workflows across industries. Whether it’s drafting custom documents, automating search and extraction, or enabling reasoning over complex document workflows (such as RFPs, prospectuses, or auditing processes), our AI-powered solutions are redefining how businesses approach repetitive tasks. Founded by seasoned leaders from Google, Coinbase, and Okta, Ema is a stealth-mode startup, backed by top-tier investors and based in Silicon Valley and Bangalore.

Who You Are

We are looking for a hands-on Technical Lead Manager with a strong focus on execution to lead our full-stack team in building AI-powered automation products. You will take an active role in guiding the team’s day-to-day work, ensuring the delivery of impactful, customer-centered solutions by collaborating closely with product managers, designers, and customers. This role is deeply technical and focused on execution, requiring someone ready to dive into the codebase and actively contribute to designing, building, and optimizing our platform to meet customer needs and scale.

You Will:

• Execute Product Development with a Hands-On Approach: Lead by example with hands-on involvement in coding, reviewing, and problem-solving alongside your team, maintaining a focus on execution and high-quality output.

• Define and Drive Technical Strategy: Establish and oversee the technical roadmap for document automation products, ensuring alignment with product goals and customer needs while delivering on time and to spec.

• Collaborate with Product and Design Teams: Work closely with product managers and designers to translate customer needs into well-defined features, prioritizing execution to bring these ideas to life in an agile manner.

• Architect Scalable and Robust Systems: Build and optimize cloud-native infrastructure that supports high-volume document processing, secure data handling, and robust machine learning workflows.

• Develop and Integrate Machine Learning Pipelines: Actively guide and participate in building machine learning and NLP workflows for document processing, ensuring seamless backend and frontend integration.

• Focus on Performance Optimization and Security: Continuously optimize for performance, from query processing and data pipelines to frontend response times, while adhering to best practices in security and compliance.

• Mentor and Support Your Team: Provide direct guidance, hands-on training, and day-to-day support for engineers across backend, frontend, and machine learning, fostering a culture of execution excellence and accountability.

• Ensure Product-Quality User Experiences: Work closely with the full-stack team to deliver intuitive, high-performance frontend experiences that meet the demanding needs of enterprise users.

Ideally, You’d Have:

• Education: Bachelor’s or Master’s in Computer Science or a related field.

• Experience: 7+ years in engineering with at least 3+ years in a technical leadership role focused on hands-on execution, ideally in document automation or AI-powered products.

• Hands-On Technical Expertise: Proven experience leading by example in coding and architecture, with a track record of delivering complex, customer-focused solutions.

• Full-Stack Development Knowledge: Strong foundation in backend and frontend engineering, with experience in cloud infrastructure (GCP, AWS, Azure) and hands-on familiarity with ML pipelines for document processing.

• Expertise in Machine Learning and NLP: Practical experience developing and integrating ML/NLP models into production systems, especially for document search, extraction, and automation tasks.

• Security-Focused Mindset: Solid understanding of secure data handling and compliance in document processing, with experience implementing secure authentication, authorization, and data privacy protocols.

• Strong Execution Skills: Ability to prioritize, drive projects to completion, and ensure timely, high-quality results in a fast-paced, hands-on environment.

• Effective Communication and Collaboration: Experience working cross-functionally with product, design, and engineering teams, with the ability to clearly convey technical requirements and execution plans.

• Leadership and Mentorship Skills: Demonstrated success in building high-performance teams, mentoring engineers, and maintaining a strong focus on execution.

Join Ema and lead a team committed to delivering powerful, hands-on AI solutions that transform enterprise workflows.