Software Engineer, Full Stack (People Innovation Labs)
New
J
JobgetherPeople operations software
Remote work opportunities within the United States, with a hybrid option in San Francisco.Full-TimeSenior
SalaryCompetitive annual base salary ranging from $153,000 to $385,000
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Job Details
- Experience
- At least 5 years of professional software engineering experience in relevant roles at technology-driven or product-focused organizations, excluding internships.
- Required Skills
- PostgreSQLPythonFull Stack DevelopmentJavascriptProduct DevelopmentLLM
Requirements
- Have at least 5 years of professional software engineering experience in relevant roles at technology-driven or product-focused organizations, excluding internships.
- Demonstrate strong proficiency in Python, JavaScript, and PostgreSQL.
- Have experience building and delivering full-stack products, ideally from initial concept through production.
- Bring familiarity with modern AI development tools, agentic coding workflows, and emerging language model capabilities.
- Show interest in applying large language models thoughtfully and safely to business and organizational challenges.
- Apply product thinking to connect technical decisions with business objectives, user needs, and measurable outcomes.
- Collaborate effectively across engineering, product, research, recruiting, and HR teams.
- Work independently, make sound decisions, and move quickly through ambiguity and competing deadlines.
- Bring ownership, adaptability, and enthusiasm for continuous learning and experimentation.
- Startup founder or early-stage product-building experience is an advantage.
- Interest in organizational culture, talent acquisition, and developing high-performing teams is an advantage.
Responsibilities
- Own the full product development lifecycle for People-focused products, from problem discovery and solution design through development, deployment, and optimization.
- Build full-stack applications and AI-powered agents for recruiting, HR operations, employee communications, and organizational culture.
- Collaborate with product managers, designers, data scientists, recruiters, HR business partners, and operations specialists.
- Understand internal stakeholders’ workflows, challenges, and priorities, and translate them into technical solutions.
- Apply language models and AI developer platforms to create tools that improve internal processes and employee experiences.
- Partner with research and product teams to evaluate emerging capabilities and improve how AI models are applied.
- Operate and expand the internal product portfolio while maintaining product quality, security, privacy, reliability, and responsiveness.
- Gather and incorporate user feedback to refine applications and address evolving organizational needs.
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