The climate is heading off a cliff. Thousands die every day of malnutrition. Pandemics put the world at risk. Technology entrepreneurship can solve these problems and many more!
Fifty Years is a different kind of venture capital firm. At Fifty Years we believe technology entrepreneurship can and should solve the world’s biggest problems. We believe massive wealth creation and positive impact can go hand in hand. We support early-stage founders creating massively profitable businesses that can also solve the world’s biggest problems. We pride ourselves on always going the extra mile for our portfolio founders and have built the Fifty Years team around helping our founders create and scale the most important companies of the coming decades.
We support startups working at the forefront of synthetic biology, energy, food, health care, space, construction, genomics, and many other industries. Fifty Years partners with founders in these fields to develop bold new solutions that will move humanity to the next level. And it’s working!
We've seeded companies like Solugen (engineering enzymes to produce industrial chemicals sustainably, now worth $2B), Astranis (small satellites to cover the Earth in Internet, now worth $1.4B), and Opentrons (automated lab platforms to transform healthcare and life sciences, now worth $1.8B). Nearly 20% of the teams Fifty Years backed in our Fund I are now unicorns. All backed from pre-seed or seed.
You’ll be joining our tight-knit team in San Francisco, working closely with everyone on the team and touching every aspect of a venture capital firm in action.
Role Description
We’re looking for an ambitious builder with experience building data-centric products, to create tools and services to support portfolio founders, find new founders, and support our team.
You’ll work with world-class product builders and investors in a fast-paced environment, with a front-row seat to the latest deep tech innovation. The products you develop will help founders expand their network, fundraise, recruit, and grow. They’ll also help scientists and engineers become the next iconic founders.
A Few Of The Things We’ve Been Building
- Fifty Years Network: Helping founders to find any warm intro and 50X their network when fundraising, making sales, or hiring.
- Paper Scraper: Stay up to date on the latest and greatest scientific research, synthesize the research using GPT, and reach out to founders to help them commercialize.
- Spinout Playbook: The comprehensive guide to spinning out of academia, released for free on the web.
You
- Are eager to build and ship product experiments regularly
- Can maintain focus in a fast-paced setting
- Have strong communication and writing skills
- Take initiative and have an entrepreneurial mindset
- Have a hunger to learn and make mistakes
- Are really excited about solving the world’s biggest challenges
Skills
- Proficient in Python
- Proficient in data engineering (SQL architecture, ETL, data integration best practices)
- Experience creating and managing pipelines with many services (via REST API, webhooks) and data sources
- 3+ years experience at a high-growth startup or top engineering culture, had mentors/code reviewers
- Knowledge of machine learning techniques and natural language processing (NLP)
- Nice to have: Experience leveraging or integrating existing ML models
- BS in Computer Science
True builders are rare in VC, and you’ll get a chance to work in a high-performing environment while learning about company building, observing industry trends, and meeting world-class teams in various fields of deeptech & AI solving the world’s most important problems.
Additional Information
This is a full-time role in San Francisco. Send your Github, LinkedIn, or recommended candidates to drew at fiftyyears.com.
As a firm and family, 50Y deeply believes in human potential. We are committed to actively fostering inclusion in our workplace and striving for greater diversity and equality in the VC, start-up, and founder worlds. We welcome any candidates who fit the criteria to apply for this position.
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