Top Tech Jobs & Startup Jobs

Own Kepler’s go-to-market relationships with hedge funds, private equity firms, and allocators. Lead discovery, conferences, dinners, partnerships, deal shaping, follow-up, and market development. Translate buyer feedback into product and marketing input while explaining Kepler’s technical architecture to PMs, CTOs, and data leaders. Build the company’s early sales and relationship function from the ground up, coordinating long enterprise sales cycles and eventually expanding the team.

Own and build Kepler’s talent function as its first dedicated talent hire. Source, attract, assess, and close senior technical candidates, especially engineers, using networks, outbound recruiting, events, agencies, data, and unconventional approaches. Build recruiting processes, scorecards, reporting, employer brand, and candidate pipelines while advising leadership on hiring plans, offers, and interview quality. The role requires hands-on recruiting, strong technical judgment, relationship building, and AI-enabled recruiting automation.

Own Kepler’s brand and marketing as its first marketing hire. Responsibilities include developing the visual identity, website, positioning, customer proof, investor and sales materials, executive social content, launches, co-marketing, and search visibility. This senior individual contributor will write, design, code, ship, and evaluate marketing work independently while partnering closely with leadership, product, strategy, operations, and customers.

Develop foundational systems for Kepler's AI platform, including building execution infrastructure, evaluation systems, and integrating AI into production environments. The role requires strong backend engineering skills and experience in AI/ML systems.

As a Forward Deployed Engineer, you'll customize and optimize AI solutions at client sites, engaging directly with financial firms to drive product innovation and improve research workflows.

As a Software Engineer at Kepler, you'll develop backend systems, manage data pipelines, and integrate AI for financial applications, ensuring production excellence and scalability.

Lead the AI research agenda at Kepler, focusing on trustworthy AI for enterprise decisions. Oversee research on agentic systems and evaluation frameworks, and manage a research team. Ensure production deployment of innovative AI solutions based on real financial data.

The Full Stack Engineer will develop Kepler's AI research platform, building frontend React applications and scalable backend services that manage data and integrate AI workflows. Responsibilities include feature ownership, data integration, performance optimization, and ensuring production excellence.

Build and maintain the analyst-facing frontend for Kepler's AI research platform: high-performance, data-dense interfaces (spreadsheets, tables, streaming views) that surface cited, auditable values and verification workflows. Ship end-to-end features, optimize browser performance, implement real-time streaming UX, and ensure traceability from UI cells back to original sources.

Own and operate models in a production AI research platform: select and fine-tune models, build training/evaluation/extraction pipelines, implement eval harnesses and CI, redesign model routing for accuracy/cost/latency, and drive end-to-end product-quality and verification for finance workflows.