Product Engineer

Worky; San Francisco (CA); On-site; USD 185,000 - 485,000; Full time

Job summary

Worky is seeking a full-stack product engineer to own end-to-end development for admissions, events, and internal tooling. You will ship features from problem definition and UI design to deployment, with emphasis on AI/LLMs and semantic search across large datasets.

Responsibilities include building an events platform, integrating with Google Calendar, Slack, and email, and creating dashboards to monitor pipeline health.

Qualifications

• Proven track record shipping full-stack products end-to-end.
• Experience building with AI/LLMs and production features.
• Strong stack: Rails, React, PostgreSQL, Python.
• Experience designing AI/semantic search across large datasets.
• Ability to integrate with external APIs and systems.
• Strong product sense and ownership of UI/UX.

Responsibilities

• Design, build, and ship full-stack apps powering admissions pipelines, events, and internal tools.
• Develop and extend an events platform for large-scale demos and events.
• Integrate with Google Calendar, Slack, and email for coordination.
• Build AI-powered copilots for email classification and workflow automation.
• Create dashboards to track pipeline health and metrics.
• Collaborate with partners and operations to optimize workflows.
• Own problem definition, UI/UX, and deployment end-to-end.
• Drive AI/semantic search features across datasets.

Skills

Full-stack ownership

Rails

React

PostgreSQL

Python

AI/LLMs

API integrations

Education

CS degree

Job description

About the Role

This is a full-stack product engineering role at the heart of how a premier startup accelerator operates - spanning the admissions pipeline, events platform, and internal tooling. Engineers here own the full product experience end-to-end, from problem definition and UI design to deployment, with no traditional PMs or designers in the loop.

What You'll Do

• Design, build, and ship full-stack applications powering admissions pipelines, events platforms, and internal tools.

• Develop and extend an events platform (large-scale demo days, meetups, recruiting events, office hours, and investor events), including registration, coordination, and media handling.

• Integrate with external systems such as Google Calendar, Slack, and email to coordinate internal teams and external stakeholders.

• Build AI and semantic search systems using embeddings and natural language queries across large datasets.

• Automate admissions workflows including scheduling, notifications, status tracking, email triage, and deadline management.

• Develop LLM-powered internal copilots for email classification, workflow automation, and natural language interfaces.

• Create dashboards and analytics to track pipeline health and operational metrics.

• Work directly with partners and operations teams to understand workflows and continuously improve systems.

What We're Looking For

• Proven track record of shipping full-stack products end-to-end - owning problem definition, UI/UX design, and deployment, not just implementing specs.

• Active experience building with AI/LLMs, with shipped projects or production AI features to demonstrate.

• Proficiency with a modern full-stack: Rails, React, PostgreSQL, and Python.

• Experience designing and shipping AI/semantic search features (embeddings, NLP) across large datasets.

• Experience integrating with external APIs and systems (e.g., Google Calendar, Slack, email, data pipelines).

• Strong product sense with the ability to own UI/UX and the overall product experience.

• Background in startups or early-stage environments (seed through Series B; large-company experience is a plus when paired with founding or startup experience.

• Experience building internal tools, workflow systems, or business software (CRMs, admissions tools, etc.) is a strong plus.

• Strong CS fundamentals, demonstrated through a rigorous degree or exceptional shipped work.

• Former founder or early technical leader background is a bonus.

Compensation & Benefits

Salary range: $185,000 - $485,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site, 5 days per week in San Francisco, CA, United States. Candidates must be based in the SF Bay Area or willing to relocate.