Three Key Leadership Roles
· Co-founder discussion openThese three roles carry the most responsibility and are compensated accordingly. The Leaders chosen to run their departments will do so with full atthority.. If after working together it makes sense, tthe co-founder discussion will be fully open.
- Own the full technical architecture of Epoche — from the statistical inference engine to the enterprise-facing API
- Lead the engineering team as it grows, including recruiting and setting technical standards for every hire beneath you
- Translate a mathematically complete framework into a hardened, production-grade system — you bridge the gap between the spec and the shipped product
- Be the technical voice of Kermati with enterprise clients, investors, and partners
- Deep background in fintech or quantitative systems where production errors carry real cost — you understand regulated, high-stakes environments
- Strong statistical and probabilistic modeling foundations — not just ML frameworks, but the math underneath them
- Has shipped a live, enterprise-grade ML system — not just prototyped one
- Reads a mathematical specification and builds from it directly — no translation layer needed between you and the problem
- Python and at least one systems language, and the judgment to know which belongs where
- Lead the behavioral and psychological science that sits at the core of Sozo — you are the person who ensures the human agency focus stays rigorous and defensible
- Design and run the empirical validation program that proves Sozo works — real studies, real participants, findings that hold up to peer review and clinical scrutiny
- Build and direct the Phase 1 research lab of up to 150 people — researchers, clinicians, data scientists, and study coordinators running concurrent studies
- If Sozo proves viable, lead the expansion to 1,500–2,500 person study programs — designing research architecture that maintains scientific integrity at that scale
- Represent Kermati's science to clinical partners, enterprise clients, and the academic world
- PhD in psychology, cognitive science, behavioral economics, or human-AI interaction — with a research record that demonstrates independent scientific leadership
- Has run a research program — not just contributed to one. Experience managing teams and coordinating multi-study programs at scale
- Understands how to design studies that produce results regulators, enterprise clients, and peer reviewers will trust — IRB experience, longitudinal methodology, clinical familiarity a strong plus
- Quantitatively strong — comfortable with the statistical modeling that underpins behavioral measurement
- Believes protecting human agency in AI-assisted decisions is worth doing rigorously — this is the scientific and ethical foundation of Sozo
- Open and close enterprise relationships for both Epoche and Sozo — starting with Finance and Life Sciences, the sectors where both products have the clearest immediate value
- Bring real contacts to the table — not a prospecting list, but relationships you can call today in regulated enterprise environments
- Build the commercial strategy alongside the founder — pricing, positioning, partnership structures, and the pipeline that takes Kermati from pilots to recurring revenue
- Be the voice of the market back to the product team — what enterprise clients actually need shapes what we build and how we position it
- Convert pilot interest into signed agreements — you know how enterprise procurement works and how to move it forward without losing momentum
- Real, active contacts in Finance and/or Life Sciences enterprise — the kind you can pick up the phone and call, not just email
- Track record selling technical SaaS or compliance infrastructure into large organizations — you know the procurement cycle and don't get rattled by it
- Can explain a complex technical product to a non-technical buyer without losing them or dumbing it down
- Has seen what happens when AI systems fail silently in high-stakes environments — believes the problem Kermati solves is real and worth solving
- Comfortable building a sales function from the ground up — this is an early-stage company, not a Fortune 500 team
CommissionStructured on signed enterprise contracts
Epoche — Supporting Team
Reporting to CTO · Hired by CTOThe CTO leads the recruitment of this team. These are senior, well-compensated people — the standard the CTO sets for every hire below them reflects Kermati's commitment to building with the best.
- Own the statistical validity of every risk score Epoche produces — if the numbers are wrong, the product is wrong
- Design and maintain calibration and validation methodology across Finance and Life Sciences verticals — each has different error tolerances and both must be right
- Run the benchmark programs that prove Epoche performs as claimed
- Works directly with the CTO to keep statistical models sound as the system scales
- Deep multivariate statistics and uncertainty quantification
- Probabilistic calibration — knows what a well-calibrated model looks like and how to get it there
- Has worked where statistical errors have real consequences — finance, healthcare, insurance, or equivalent
- Academic or industry background both considered — the work speaks louder than the CV
- Build and maintain the core API layer enterprise clients connect to — reliability and clean interfaces are the job
- Production hardening alongside the CTO — performance, error handling, uptime, monitoring
- Write code that the team can read, maintain, and build on for years
- Strong Python — production APIs with real users, not just prototypes
- Testing discipline, async patterns, production observability
- Comfortable wearing more than one hat in a small, fast-moving team
- Build and maintain the data pipelines feeding the inference and calibration systems — clean inputs, reliable outputs
- Own the MLOps layer — model versioning, deployment automation, drift monitoring infrastructure
- Keep the system observable — logging, alerting, tooling that catches problems before clients do
- What We're Looking For
- Python plus ML deployment tooling — Docker, CI/CD, model registries
- Data pipelines that run reliably in production — not just in a notebook
- Detail-oriented — writes the test before the bug report arrives
Compensation TBD with CTOEpoche Phase 1. Transitions to Sozo integration team post-launch.