About Tempus Insights

Tempus Insights is a product- and technology-driven investment research firm with a mission to redefine due diligence for growth equity, venture capital, and hedge fund clients. We’re transforming the investment research industry by automating labor-intensive processes to democratize access to the highest quality research on the market.

Tempus Insights was founded in 2023 by Sean Tanaka, who previously led Bain & Company's Growth Equity and Hedge Fund Due Diligence practice. During his 12 years at Bain, Sean built and scaled specialized teams serving premier growth equity, venture capital, and hedge fund clients and led over 100 due diligence projects as a Partner.

Why work with us?

We’re a fast-growing, cashflow-positive startup with experienced leadership and deep expertise in our industry, and you’ll have unique opportunities to shape your role and grow with us on an exciting journey
Intellectual rigor and continuous learning are at the core of everything we do across both research and engineering functions; you will join us not just as an engineer, but as a thought partner in our mission to redefine investment diligence
We ship features early and often - you’ll see your hard work in action quickly and get constant engagement from both users and our leadership team
Our research team covers some of the most exciting companies in the enterprise software and consumer internet sectors - you’ll get to be a fly on the wall to the latest developments in these industries
We have a flexible, hybrid culture - work from anywhere in the US or co-locate with our team in San Francisco or New York

About the role

The core of this role will be implementing and iterating on full-stack product features in Python/FastAPI and Typescript/React, for example:

Designing and iterating on key business process and project management features that govern the workflows on our platform
Developing and optimizing sections of our end-to-end pipeline that transforms raw interview transcripts into polished due diligence research
Building an AI system for autonomous expert interviews from the ground up

We have an iterative, exploratory workflow, which means:

You’ll start out building scrappy, pragmatic implementations of new features and have the opportunity to own, iterate on, and perfect them over time
You’ll be continually supported to learn and grow both your technical expertise and soft skills, with opportunities to direct your own learning and pursue technologies that interest you
You’ll work with the latest advancements in LLMs and become expert in building complex AI pipelines and agentic systems

About you

Excited to learn about and work with new technologies, whether it be adding battle-tested approaches to your toolbox or keeping up with the forefront of AI advances
Passionate about building product, eager to start scrappy and perfect a system by making iterative improvements in response to user feedback
Comfortable navigating ambiguity and defining software architecture to solve product requirements

Required qualifications

US-based, Pacific Time preferred
Strong computer science/software engineering background (by education or experience)
Some experience across the full stack, including proficiency in at least one of Python or Typescript/Javascript and exposure to both backend and frontend frameworks
Values writing clean, maintainable software, including documentation; skilled in refactoring, improving, and iterating on code
Experience with using LLMs to accelerate software development; opinionated about how to integrate AI tools with your development workflow

Preferred qualifications

Direct experience with some or all of the components of our tech stack (Python/FastAPI, Typescript/React, PostgreSQL, AWS)
Experience building software systems that leverage LLM APIs (OpenAI, Anthropic, etc.)
Some experience working at an early-stage company (e.g. startup internship)
An eye for UI/UX design, comfortable building interfaces and layouts from scratch

Benefits

Competitive salary and equity
Health, vision, and dental insurance
Flexible PTO
Hybrid culture

About the process

Resume review
Intro call (non-technical)
Technical interview
Founder chat (non-technical)
Paid trial project (~8 hours, flexible to your schedule)
Salary and equity discussion based on fit

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Full-Stack Engineer, New Grad / Early Career

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