Jobs at EvolutionIQ

Lead end-to-end design for 0-1 and existing B2B enterprise products in regulated, data- and AI-driven domains. Partner with product, engineering, and clients to translate needs into usable experiences, evolve the design system, navigate tradeoffs (user, data, ML, technical, regulatory), and raise design quality across the organization.

Provide high-touch executive support to the Co-CEO: manage complex calendars, coordinate domestic and international travel, handle expense reconciliation and admin, prepare briefing materials and track action items, manage external correspondence, and lead special executive projects and cross-functional collaboration to maximize executive effectiveness and operational cadence.

The Senior Content Strategy & Operations Manager will build and manage systems for content creation, optimize the website, measure performance, and maintain editorial standards to drive trust and engagement.

Lead a small analytics engineering team as a player/coach to design and maintain a scalable modern data stack and dimensional data models, ensure code quality and CI/CD, collaborate with Data Science and Business Analytics, mentor engineers, manage sprint planning, and support hiring and career development.

Translate complex claims and model data into trustworthy, scalable reporting and visualizations. Build SQL and Python-based tools, contribute to GitHub, create Looker/Tableau/PowerBI dashboards, and synthesize insights for stakeholders to drive product, client, and operational decisions.

Lead pre-sale solutions consultant for enterprise insurance SaaS agentic products. Drive discovery, solution architecture, integration planning, business case development, and executive alignment across Sales, Product, and Engineering to enable complex, integration-heavy deployments.

The Solutions Engineer will manage client data onboarding, ensuring data quality, facilitate collaboration between teams, and enhance data solutions for enterprise clients.

The Director of Product will lead the development of new AI-driven products for auto casualty claims, collaborating with engineers and executives, while defining strategic direction and commercial success from inception to market validation.

The Director, Data Insights will bridge technical data and business decisions by translating complex data into persuasive narratives, advise executives, and transform organizational culture toward data-driven practices.

The Technical Engagement Manager oversees client project delivery, enhances operational product success, and manages timelines while ensuring client satisfaction through effective communication and data analysis.

Design, build, and deploy scalable ML models for claims forecasting and NLP; perform exploratory data analysis, feature engineering, model evaluation, and production-quality code reviews; translate business problems into ML solutions and maintain model-serving pipelines.

The Assistant General Counsel will draft, review, and negotiate SaaS agreements, advise on legal matters for commercial contracts, and partner with sales teams to manage risk while facilitating growth.

Design and build scalable data pipelines and backend systems for AI solutions. Lead architecture, code quality, security guardrails, and review AI-accelerated output. Partner with product, data science, and client teams to transform pipeline outputs into actionable insights. Own full feature lifecycle from prototyping with agentic tools to production-grade deployments.