About Haven Safety
Haven Safety AI is building the enterprise learning intelligence layer for safety. Co-founded with The AES Corporation and AI Fund, the venture studio founded by Andrew Ng, Haven helps high-risk organizations learn faster from what goes wrong so they can prevent what comes next.
Haven works alongside existing EHS enterprise systems to improve how organizations investigate, assess, and learn from incidents. INVESTIGATE guides evidence synthesis, timeline development, multi-threaded causal analysis, and corrective actions. ASSURE continuously reviews completed investigations for evidence quality, causal coverage, guideline adherence, and CAPA strength. LEARN reasons across incident history to surface recurring control failures, repeated corrective-action patterns, CAPA debt, and emerging signals.
The platform combines current incident evidence, company knowledge, historical cases, and an industry knowledge graph. A coordinated team of specialized AI agents examines evidence, controls, engineering factors, procedures, regulations, training, and organizational history, then produces one traceable assessment for human review. Customers have reported an 80% reduction in root cause analysis labor time using Haven.
The opportunity
We are seeking an experienced Enterprise Account Executive with a successful track record selling enterprise EHS software. You will own opportunities from discovery through executive alignment, proof of value, commercial negotiation, and close. You will engage Fortune 1000 executives across Safety, Operations, IT, Risk, and Procurement and help customers rethink how work gets done through AI.
Responsibilities include
- Own enterprise sales opportunities from qualification through close.
- Develop executive relationships across Safety, Operations, IT, Risk, and Procurement.
- Lead consultative discovery and business value discussions.
- Demonstrate Haven’s platform and ROI.
- Coordinate pilots and proof-of-value engagements.
- Build business cases and ROI models.
- Navigate enterprise procurement, security, and legal reviews.
- Partner with Customer Success during implementation.
- Represent Haven at industry events.
- Consistently exceed revenue targets.
What success looks like
Within your first year, you will close multiple enterprise customers, become a trusted advisor to senior EHS leaders, contribute to Haven’s go-to-market strategy, and help establish Haven as the leader in AI-powered industrial safety.
Required experience includes
- 7+ years of enterprise B2B software sales.
- Success selling into Fortune 1000 organizations.
- Experience leading complex, multi-stakeholder enterprise sales cycles.
- A consistent history of exceeding quota.
- Experience building executive relationships with EHS, Operations, Risk, or Operational Excellence leaders.
- Strong consultative selling skills.
- Excellent executive communication and presentation skills.
- Experience navigating procurement, security, and legal reviews.
Nice to haves include
- Experience selling AI or advanced analytics solutions.
- Experience in utilities, oil and gas, construction, manufacturing, mining, chemicals, or other high-risk industries.
- Experience at early-stage or venture-backed SaaS companies.
- Experience with enterprise sales methodologies such as MEDDICC or Challenger.
- Direct experience selling EHS (environmental, health, and safety) software solutions.
Why join Haven Safety
Build a new AI category, work directly with founders and enterprise customers, influence product direction, and receive competitive compensation, uncapped commissions, equity participation, health benefits, and flexible working arrangements.
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.