The PositionAs our
Head of Research, with a PhD or advanced degree in Computer Science, Statistics, or a related field, you will set the research agenda, shaping how and what we build, and directly influencing the trajectory of the product. This role reports directly to the CEO.
You'll be hands-on, collaborating with engineering and product leadership to make sure we're solving the right problems before we build the wrong things. If you thrive in a small, fast-moving environment where deep technical research has direct and immediate impact, this role was built for you.
What You'll DoSet and drive the research agenda- Define the research roadmap, prioritizing work that reduces technical risk and accelerates delivery
- Anticipate hard problems before they become expensive ones - running ahead of the engineering team to validate approaches and surface unknowns early
- Establish research practices and standards that will scale as the team grows
Deep technical contribution- Leverage graph database, algorithm, and recsys knowledge to tackle complex data representation and retrieval challenges
- Drive measurable improvements in system efficiency and operational cost through research-led optimization
- Apply expertise in large-scale ML systems to improve model performance, system efficiency, and cost at scale
Cross-functional leadership- Be a true partner to the Head of Engineering - not a hand-off relationship, but a tight collaborative loop
- Work in close alignment with those in product and customer-facing roles to maintain methodological rigor across research output
- Translate complex research findings into clear, actionable guidance for engineers and non-technical stakeholders alike
People & culture- Manage and mentor (world class) junior researchers
- Contribute to building a culture where curiosity, rigor, and pragmatism coexist
What We're Looking ForRequired- PhD or advanced degree in Computer Science, Statistics, or a related field
- Strong command of graph databases and graph algorithms
- A track record of running independent research programs and turning findings into engineering decisions - not just papers
- Comfortable operating with autonomy in a fast-moving, resource-constrained environment
Preferred- Experience with bibliometrics and/or research evaluation methodologies - this is a meaningful plus given our domain
- Record of academic publications
- Hands-on experience designing and deploying large-scale ML systems in production
- Familiarity with cost modeling and performance benchmarking for ML infrastructure
Why This RoleYou'll have real influence over how a technically ambitious company thinks and builds. This is a founding-team-adjacent position - the research infrastructure you establish will define how we operate for years to come.
