Strata is on a mission to turn static research and one-off inquiries into living, goal-oriented projects that stay current, preserve institutional knowledge, and help teams make better decisions.
We’re building an intelligence and operations platform that helps teams continuously monitor and interpret external developments in the context of their company’s strategy, obligations, risks, and goals. Today, enterprise work is fragmented across docket sites, filings, Word documents, spreadsheets, shared drives, emails, and expert memory. The costly problem is not simply knowing that something changed. It is understanding what changed, whether it is draft or final, how it affects the business, which projects or documents need to be updated, who needs to review the impact, and what action should follow.
Strata turns enterprise work from static research and one-off documents into living, goal-oriented projects that stay current, preserve institutional knowledge, and help teams make measurable progress over time.
This is a rare opportunity to lead a venture-backed company at inception, with the benefit of validated customer demand, a clear initial wedge in utilities and energy, and a compelling path toward becoming the trusted operating system for regulated decision-making. Strata is poised to build toward product-market fit in a large, high-stakes market where regulatory change directly affects economics, compliance, capital planning, and strategic outcomes.
We are looking for a CEO with a strong track record in early-stage B2B SaaS, enterprise sales, and company building. The ideal candidate has experience selling into regulated, asset-heavy, or complex enterprise environments, a deep appreciation for AI’s ability to augment expert knowledge work, and the founder-level drive to turn a sharp market insight into a category-defining company.
You’ll be working alongside founding partners from AI Fund and AES to build Strata from the ground up. As this role is based in Mountain View, candidates outside of the Bay Area will not be considered.
Responsibilities Include:
- Lead the company across all functional areas, including strategy, go-to-market, operations, finance, fundraising, and team building.
- Define and drive the company vision for a new category of regulatory intelligence and operations software for regulated enterprises.
- Own founder-led sales, with a focus on landing and expanding enterprise customers in utilities, energy, and other regulated, asset-heavy industries.
- Work closely with early customers to deeply understand regulatory workflows, pain points, buying dynamics, and the highest-value use cases.
- Translate customer needs into a focused product roadmap for an intelligent regulatory workspace that supports research, change monitoring, precedent analysis, impact assessment, filing preparation, and strategy updates.
- Partner with technical leadership to build domain-aware AI agents that can search, read, compare, cite, and interpret regulatory materials with the level of trust required for high-stakes enterprise work.
- Develop Strata’s positioning, pricing, packaging, and sales motion for regulatory, legal, strategy, compliance, and commercial teams.
- Secure strategic partnerships that expand data access, distribution, subject-matter expertise, or credibility in key regulated markets.
- Recruit and lead a world-class team across go-to-market, product, engineering, and customer success.
- Build the investor pipeline and prepare the company for its next stage of financing.
Must Haves For The Role Include:
- Demonstrated leadership at an early-stage B2B SaaS company, ideally from 0 to 1 and into early scale.
- Proven ability to sell complex software to enterprise customers, especially in regulated, asset-heavy, technical, or operationally complex markets.
- Strong founder-led sales instincts, including the ability to identify urgent pain, navigate enterprise stakeholders, close early customers, and turn pilots into expansion opportunities.
- Experience working with AI, data-centric products, workflow software, enterprise knowledge systems, or vertical SaaS.
- Ability to translate a complex customer problem into a clear product vision, credible business case, and compelling company narrative.
- Fundraising experience or clear ability to inspire investor confidence around a large market, strong wedge, and ambitious long-term vision.
- Comfort operating in ambiguous, fast-moving environments where the CEO must move between customer discovery, sales, product strategy, hiring, fundraising, and execution.
- High empathy for expert users doing high-stakes work, especially teams whose decisions depend on accuracy, auditability, citations, and institutional knowledge.
- Ability to move fast with clarity, judgment, and conviction.
Nice To Haves Include:
- Experience selling into utilities, energy, infrastructure, financial services, healthcare, insurance, telecom, or other regulated industries.
- Familiarity with regulatory affairs, compliance, legal operations, government affairs, rate cases, tariffs, filings, proceedings, or cross-jurisdictional regulatory research.
- Experience building or commercializing AI products involving retrieval, knowledge management, document intelligence, workflow automation, or expert-in-the-loop review.
- Experience selling to legal, regulatory, strategy, compliance, finance, or operations teams.
- Experience building products that require trust, traceability, citations, auditability, and high-quality human review.
- Prior exposure to enterprise data partnerships, public records, regulatory data, or domain-specific knowledge systems.
$150,000 – $150,000 a year
As the role is a co-founding opportunity with a pre-seed start-up, the package will be heavy on equity in addition to the salary. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
