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Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
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Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
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Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and ship production software across Superhuman’s AI-powered productivity products. Develop features using modern web frameworks, large language models, natural language processing, and intelligent automation. Contribute to scalable distributed systems, testing, deployment, and system design while collaborating with product, design, and engineering teams. The role emphasizes mentorship, rapid growth, independent execution, and delivering reliable user experiences to millions of users.
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About Superhuman
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.
The OpportunityWe’re looking for an Engineering Manager to lead the Assist & Chat teams within Superhuman Go. This is an opportunity to build and scale a pervasive AI assistant that constantly observes what people are doing and proactively surfaces agents that can help them in the moment — before they even have to ask.
Superhuman Go is our proactive AI assistant that knows what you know and offers help without you having to ask. We’re combining Grammarly’s decade-long investment in understanding user context across every application with Coda’s packs ecosystem connecting to over 800 tools. Grammarly has built an AI superhighway that works everywhere users do — and the Assist team is responsible for bringing thousands of agents to that highway, training models to match what users are doing with the agent that can help them most.
The Assist team sits at the heart of this vision. You’ll lead a team of 8+ engineers building the intelligence layer that understands what users are doing — across browser tabs, native applications, Superhuman Mail, and Coda Docs — and matches them with the right agent at the right time. This means training and evaluating models that interpret diverse user contexts, building the proactive surfacing system that decides when and how to offer help, and shipping polished user-facing experiences across multiple surfaces.
As an Engineering Manager on the Assist team, you will:
- Lead and grow a team of 8+ engineers, providing mentorship, career development, and fostering a high-performance engineering culture.
- Own the technical direction for proactive agent surfacing — from understanding user context to matching them with the right agent at the right time.
- Drive the development of models that interpret user activity across applications and match it with relevant agents from our growing ecosystem.
- Build evaluation frameworks to measure model quality and user impact, iterating rapidly based on what works.
- Ship compelling user-facing products across our Chrome extension, native desktop application, and integrations with Superhuman Mail and Coda Docs.
- Collaborate cross-functionally with product, design, ML research, and platform teams to deliver an end-to-end experience.
- Move us from a world where users must come and ask for help to one where we proactively use our deep understanding of user activity to surface the agent that can help them most.
- Balance technical ambition with pragmatic execution — shipping incremental value while building toward the proactive assistant vision.
- Has 3+ years of engineering management experience leading teams of 5+ engineers, with a track record of hiring, developing, and retaining strong talent.
- Brings hands-on experience training, fine-tuning, and evaluating ML models, with a strong intuition for model quality and data-driven iteration.
- Has shipped user-facing products at scale, with a deep appreciation for UX quality and a bias toward getting value in front of users quickly.
- Demonstrates strong technical breadth across browser/extension development, ML/AI infrastructure, and full-stack product engineering.
- Has experience building systems that operate across diverse surfaces (browser extensions, native apps, web applications) and understands the unique challenges of each.
- Shows a track record of managing ambiguity — defining strategy, making tradeoffs, and shipping in fast-moving, early-stage product areas.
- Communicates clearly and influences effectively across engineering, product, design, and leadership.
- Is energized by the challenge of building proactive AI experiences that anticipate user needs rather than waiting for explicit requests.
We invite you to share your knowledge, experience, and goals with us to help us find the best team match for you. Tell us your superpower!
Compensation & BenefitsSuperhuman offers all team members competitive pay along with a benefits package encompassing the following and more:
- Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
- Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
- Annual professional development budget and opportunities
Superhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $240,000-$320,000/year USD (numbers reflect base salary only)
We encourage you to applyZone 1: $240,000-$320,000/year USD (numbers reflect base salary only)
At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
#LI-Hybrid
Superhuman San Francisco, California, USA Office
Grammarly’s San Francisco headquarters is located downtown, just a 5-minute walk from the Embarcadero BART station.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
