Engineer II, Digital Engagement

Tavern Research is a political tech startup building tools and insights to help our customers win elections and make better, evidence-based decisions. We specialize in scaling expert human work, such as content generation and survey research to support thoughtful, data-driven civic engagement. We're a venture-backed, mission-driven, fast-moving, and mostly technical team focused on supporting campaigns and organizations working to strengthen democratic participation. We are experimental by design and expect every team member to continuously improve how they work using new tools and technology. Everything else is on our website. If you still have questions, let us know when you apply!

As an Engineer II at Tavern, you’ll build tools that give our partners an edge in the noisy, chaotic world of politics, media, and influence. Some days, you’ll extend production systems to support new workflows; other days, you’ll prototype ideas that could become our next core product.

You’ll work on problems of moderate to wide scope, sometimes straightforward, sometimes full of unknowns, and you’ll be trusted to navigate both. That might mean stitching together APIs to move faster, integrating LLMs into new tools, or diagnosing why a data pipeline that ran perfectly yesterday is suddenly producing nonsense.

This role begins as a high-impact individual contributor position, but we value engineers who can mentor teammates, coordinate small project efforts, and grow into team leadership over time. If you’re excited by pairing technical depth with increasing ownership and leadership responsibility, this role offers a clear path in that direction.

You won’t just write code, you’ll help shape technical decisions. You’ll collaborate closely with product and engineering leadership to influence how we build, not just what we build. While remaining hands-on day to day, you’ll be expected to anticipate bottlenecks, design with scale in mind, and ensure technical debt doesn’t outpace our velocity.

If building fast, shipping often, and learning from the weird and unexpected sounds exciting, we'd love to hear from you.

We value in-person collaboration and expect employees to work regularly from our Chicago office. We’re hiring for multiple roles and reviewing applications on a rolling basis—if the posting is still up, the position is still open.

You’d be joining the team that builds tools to understand conversation on major social platforms. We build systems for large-scale sentiment measurement and experimentation, and we partner closely with our Surveys team to validate what’s working.

This team supports fast-moving, time-sensitive campaigns, so you’ll be trusted to own experiment design, measurement infrastructure, and rapid iteration, with visibility into the real-world impact of your work.

• →Build and extend product features, balancing reliability with experimentation.
• →Own and evolve core product features and systems, contributing to architectural decisions and carrying work through to production.
• →Support the growth of teammates through code reviews, technical guidance, and setting a strong example for code quality and testing.
• →Work across a moderate-to-wide scope of problems, handling both straightforward tasks and areas with significant unknowns.
• →Contribute to testing, code review, and stability practices, helping improve team standards.
• →Prototype and experiment with new ideas and technologies (e.g., APIs, LLMs, AI coding tools, data pipelines).
• →Collaborate with product and engineering peers, and occasionally clients, to ensure solutions solve the right problems.
• →Identify and propose improvements to tools, workflows, and systems.
• →Weigh trade-offs between speed, scale, and reliability, and help drive technical decisions that align with product and business goals.

• 4+ years of professional engineering experience, with a track record of owning projects end to end and supporting systems in production with increasing independence.
• Hands-on experience supporting production systems, with a track record of debugging issues and strengthening monitoring and alerting over time.
• Proficiency in Python, JavaScript and Docker.
• Experience working with databases, APIs, and infrastructure.
• Solid understanding of data structures, algorithms, and system design
• Experience with (or strong interest in) social platform APIs, data pipelines, or experiment/measurement systems
• Familiarity with version control systems and collaborative development workflows
• Ability to manage multiple priorities with minimal supervision
• Strong problem-solving skills, with good judgment in ambiguous situations

To be explicit: you don’t need a degree to work here. You just need to be good at the things we’re asking from you.