Jobs at Hexa

Support Hexa Scale’s venture investment process by screening inbound leads, identifying prospective software companies, conducting market and competitive research, interviewing market experts, analyzing business models and growth plans, and supporting investment and due diligence calls. The role also contributes to outbound sourcing tools, deal-flow generation, and preparation of investment opportunity analyses.

Serve as the operational backbone for Hexa’s AI-native studio, owning go-to-market execution for portfolio companies, including positioning, pricing, customer acquisition, experiments, and operating systems. Maintain company rhythms, coordinate founders and Hexa functions, scope new opportunities, build the founder pipeline, support studio visibility, and improve shared workflows. The role requires hands-on startup execution, high agency, bilingual French and English communication, and enthusiasm for AI and early-stage company building.

Build and ship AI-powered products for litigation lawyers. Responsibilities include designing agentic workflows, processing complex legal documents, developing data pipelines, evaluating model outcomes, improving quality, latency, and cost, and building reliable backend infrastructure. The role involves taking AI experiments into production, collaborating with founders and users, and owning projects from exploration through deployment.

Support two hardware startups with go-to-market and business development across aerospace, energy, defense, infrastructure, and data centers. Responsibilities include mapping target accounts and buying committees, developing outreach and positioning, cold-calling technical B2B prospects, building partnerships, coordinating priorities for founders, and converting field insights into commercial decisions. The role requires experience navigating industrial environments, long sales cycles, complex procurement, and startup execution.

Design, train, and deploy state-of-the-art multimodal acoustic models for underwater detection, classification and localization. Build end-to-end training pipelines with self-supervised pre-training and fine-tuning, fuse multiple sensor modalities, optimize and distill models for edge deployment on constrained hardware, shape data collection strategy from fleet sensors, and iterate using sea trials.

Model underwater sound propagation, characterize and classify acoustic signatures, design sensor/array geometries, and collaborate with AI engineers to create physics-constrained learning and synthetic data pipelines for maritime autonomy.

As founding Growth Lead, you will build Waniwani's growth engine from scratch, focusing on events, partnerships, and data-driven strategies to drive revenue and market presence.

The Head of Business Operations at Waniwani is responsible for client outcomes, delivery leadership, and building a delivery function. The role involves overseeing systems, processes, and ensuring scalable operations as the company grows.

Build and run Verso's end-to-end GTM engine: create outbound account-based plays, own inbound (content, SEO, website, lead nurture), run events, and wire AI and automation through the funnel to generate repeatable enterprise pipeline for founders and sales to close.

First product hire to own roadmap, discovery, specs, and delivery for an AI-driven B2B SaaS targeting insurance brokers. Conduct field discovery, design agentic AI workflows, instrument usage (PostHog), align sales/ops, and iterate to drive adoption and retention.

First commercial hire responsible for full-cycle enterprise sales: prospecting, demos, scoping pilots, closing flagship accounts, building repeatable sales motion and CRM discipline, using AI tools to sell an AI-native consumer research platform, and feeding market insights back to founders.

Lead and scale enterprise partnerships: build the partnership playbook, own C-suite relationships, identify and win high-leverage partners, define repeatable commercial models, convert signatures into launched revenue, build pipeline and hire the partnerships team.

Lead technical discovery, solution architecture, and procurement/security for enterprise deployments of AI-driven banking and insurance products. Run client workshops, produce integration and deployment documentation, complete security questionnaires, manage data residency and compliance, and oversee deliveries executed by a freelancer network. Build reusable scoping templates, architecture patterns, and procurement answer libraries to scale signed deals to live deployments.

Founding Data Engineer to design, build and scale AI-first data pipelines and production systems for LLM-powered insurance workflows. Own ingestion, structured extraction, document processing, evaluation/monitoring, APIs and reliability to deliver production-grade AI products used by brokers.

As a Tech Founder at Hexa, you'll have ownership of tech initiatives and be involved in strategic decisions such as GTM strategy and fundraising while building a tech team.

Founders work with Hexa to launch and grow software startups over 12 months, leveraging a network and support from experts.

Interns at Hexa work with startup teams on various roles, including VC analysis, talent operations, go-to-market strategies, and business development. They gain hands-on experience in building startups and developing their entrepreneurship skills.

Conduct user research with brokers, translate complex insurance workflows into clear AI-native interfaces, design and prototype flows in Figma, collaborate with product and engineering to iterate and ship features, and refine how AI outputs are presented and used.

Lead holding-level financing strategy and banking relations, manage treasury and cap allocation, own cap table and investor reporting, build financial models, manage a small finance team, and support Hexa Scale deal-making through due diligence, valuation, deal structuring, incentive design, and board participation.

Build and scale backend services, integrations and AI-powered workflows for an insurance-focused product. Own features end-to-end, improve system reliability, performance and observability, work with unstructured data and production constraints, and collaborate closely with founders and users to turn feedback into shipped product improvements.