Early Career Product Engineer

Posted Yesterday
Be an Early Applicant
San Francisco, CA, USA
In-Office
150K-230K Annually
Mid level
Artificial Intelligence • Consumer Web • Machine Learning • Conversational AI • Generative AI
The Role
Build and ship end-to-end product features across the stack, partnering with product, design, backend, and ML teams. Own product problems from discovery through measurement and iteration, including AI-powered workflows, context retrieval, integrations, and desktop experiences. The role values strong engineering fundamentals, rapid learning, ownership, comfort with ambiguity, collaboration, and a bias toward shipping quality products.
Summary Generated by Built In

Highlight is building a shared intelligence layer for the modern workforce. Highlight unifies context across every person and tool on your team, seamlessly bridging information silos. It evolves with your organization to proactively route knowledge and reliably automate workflows.

The Role

We're looking for an early-career engineer who is a builder at heart.

You might have a few years of professional experience, but you've probably also built things outside of work: contributed to open source, tinkered with new technologies, launched a side project, built an app for fun, or gone down a technical rabbit hole simply because you were curious.

At Highlight, you'll work across the stack and own real product problems end-to-end. You'll work closely with product, design, backend, and ML to figure out what users need, build it, ship it, and learn from what happens next.

You don't need to know everything coming in. In fact, one of the things we value most is the ability to learn quickly and confidently jump into things you haven't done before.

Note: this is an on-site role, requiring five days a week in our San Francisco office.

Job Responsibilities

  • Build and ship product features across the stack, from user-facing experiences to backend systems.

  • Work directly with product and design to understand user problems and turn ambiguous ideas into simple, useful experiences.

  • Own meaningful pieces of the product end-to-end: understand the problem, propose a solution, build it, measure it, and iterate.

  • Work with AI and ML systems to create experiences that understand context and proactively help users.

  • Contribute across areas like context storage and retrieval, desktop experiences, integrations, and AI-powered workflows.

  • Learn new technologies and parts of the stack as needed rather than staying confined to a single specialty.

  • Help us build the engineering practices, systems, and product instincts that will allow a small team to move quickly without sacrificing quality.

Profile

You don't need to check every box. We're much more interested in how you learn, what you build, and how you approach problems.

You may be a great fit if you:

  • Have 2-4 years of software engineering experience, or equivalent experience building software independently.

  • Have strong fundamentals and can write clean, thoughtful, maintainable code.

  • Have built and shipped things outside of your day job - side projects, open-source software, apps, tools, or anything else you're proud of.

  • Are naturally curious and genuinely enjoy learning how things work.

  • Have demonstrated that you can pick up unfamiliar technologies quickly.

  • Want to work across the stack rather than specialize narrowly in one layer.

  • Care about the end user and want to understand the why behind what you're building.

  • Are comfortable with ambiguity and can turn an open-ended problem into something concrete.

  • Have a bias toward action: you like building, shipping, getting feedback, and iterating.

  • Take ownership of outcomes rather than waiting for someone to tell you exactly what to do.

  • Are collaborative and enjoy working through hard problems with other people.

  • Care about quality, but understand that the right answer isn't always to build the perfect thing before shipping.

  • Are excited by AI and curious about how it can fundamentally change the way people use computers.

Bonus Points

  • Significant open-source contributions or a project with real users.

  • Experience building AI-powered products or using LLMs in your own projects.

  • Experience with React, TypeScript, Python, or similar modern technologies.

  • Experience building desktop, mobile, or developer tools.

  • Experience at a startup or in a small engineering team.

  • A history of teaching yourself technologies that weren't part of your formal role.

Perks

  • Competitive salary and generous equity package

  • Health, dental, and vision insurance

  • Flexible PTO and parental leave

  • Paid team lunches and dinners during the week

  • Relocation package

  • 100% in-office culture in San Francisco

Skills Required

  • 2-4 years of software engineering experience or equivalent independent software-building experience
  • Strong software engineering fundamentals
  • Ability to write clean, thoughtful, maintainable code
  • Evidence of building and shipping software outside of a day job, such as side projects, open-source software, apps, or tools
  • Ability to learn unfamiliar technologies quickly
  • Interest in working across the stack
  • Ability to understand user needs and the reasoning behind product decisions
  • Comfort with ambiguity and open-ended problems
  • Bias toward action, shipping, feedback, and iteration
  • Ownership of outcomes
  • Collaborative approach to solving difficult problems
  • Interest in AI and its applications to computing
  • Significant open-source contributions or a project with real users
  • Experience building AI-powered products or using LLMs
  • Experience with React, TypeScript, Python, or similar modern technologies
  • Experience building desktop, mobile, or developer tools
  • Experience at a startup or small engineering team
  • History of self-teaching technologies outside a formal role
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The Company
San Francisco, CA
10 Employees
Year Founded: 2024

What We Do

The proactive AI assistant built for high-velocity teams.

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