Software Engineer, Experimentation

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

Superhuman team members for this role may be based in San Francisco, Seattle, or New York City.

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.

To achieve our ambitious goals, we’re looking for a back-end-focused Software Engineer to join our Experimentation team. As a Software Engineer at Superhuman, you will play a critical role in building core parts of the Superhuman product offering, infrastructure, and features to help 40 million users write more clearly and effectively every day. You’ll have the opportunity to build and support experimentation frameworks and internal tools that directly impact our product roadmap and company growth.

Superhuman engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure.

Superhuman is growing rapidly. There are opportunities to join a team, learn from experienced peers, and build product offerings and teams from the ground up. Within our growing engineering organization, there is plenty of room for ownership and direct impact on users.

As an experimentation-focused Software Engineer, you will:

• Support and evolve experimentation infrastructure to enable next-generation AI products and agentic workflows, enabling teams to measure complex user interactions and run effective experiments at scale.

• Collaborate widely with internal teams to help define and measure quality in AI-driven experiences, partnering closely with Data Scientists and Engineers to deliver impactful product improvements.

• Contribute to an engineering culture with a strong emphasis on documentation, testing, and user experience, while leveraging state-of-the-art AI tools and techniques to improve development velocity.

• Evaluate existing systems and contribute to architectures that integrate experimentation with AI-driven evaluations, scaling infrastructure to support fast, reliable decision-making

• Own changes across back-end and light front-end surfaces, enable product teams to successfully run experiments, and share responsibility for on-call supporting experimentation systems.

• Brings 5+ years of experience in Software Development with an emphasis on back-end engineering skills.

• Displays excellent software engineering fundamentals, including knowledge of algorithms and data structures.

• Is ready to tackle infrastructure challenges when needed.

• Is comfortable working within existing systems and incrementally improving them over time.

• Has experience building, deploying, and debugging production systems at scale.

• Demonstrates strong debugging and problem-solving skills in complex or data-heavy systems, and perseverance when faced with tough technical issues.

• Cares about the end user experience and strives to ensure high quality.

• Prior experience in experimentation or internal tooling is preferred since this role supports other engineers.

• Strong written and verbal communication skills.

• Self-driven, adaptable, comfortable with ambiguity, and able to operate with autonomy while seeking guidance as needed.

• Open to learning and applying AI tools in day-to-day engineering work

• Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments

• Has a passion for data, measurement, and experiment design, and is motivated to learn and apply these in practice.

Superhuman 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, which means base pay may vary depending on your 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.

$190,000 to $258,000

At Superhuman, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. 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).