Role SummaryAs a Deployment Strategist at Context, you'll be the bridge between our platform and the industries we serve. You bring deep domain expertise in your field (investment banking, private equity, hardware engineering, consulting, or similar) and a conviction that AI can transform how work gets done in that field. You'll develop the strategy for how Context deploys into companies in your industry and then own the execution of that strategy, working closely with customers and our engineering team to deliver real outcomes.
Compensation: $180k-$350k base + competitive equity + commission. Negotiable
Interview process: initial behavioral screening, take-home case study (regarding AI deployment strategy), and two day work trial. Work trial timing is highly flexible.
Work location/schedule: this role will likely require significant travel. We can accommodate home base in San Francisco or New York City
What You'll Do- Develop and own the deployment strategy for your industry vertical, identifying the highest-value workflows to automate and the right sequence to go after them
- Work directly with Fortune 500 customers to understand their operations, map their workflows, and translate that into a deployment plan
- Partner with our engineering team to ensure the product and agent configurations meet the specific needs of your industry
- Build relationships with senior stakeholders at customer organizations and serve as a trusted advisor on AI adoption
- Feed learnings from the field back into our product roadmap to shape what we build next
What We're Looking For- 2+ years of hands-on experience in investment banking, private equity, hardware engineering, management consulting, or a similar knowledge-intensive field
- You know the day-to-day workflows of your industry inside and out, including the pain points that nobody outside the industry sees
- Strong strategic thinking and the ability to scope and sequence a deployment plan
- Excellent communication skills. You're comfortable in a room with senior operators and can earn their trust quickly
- High agency and comfort with ambiguity. This role doesn't have a playbook yet; you'll be writing it
Nice to Have- Light technical fluency (comfortable demoing product, talking to engineers, understanding how AI systems work)
- Experience in a client-facing or consulting capacity
- Prior exposure to AI/ML products or enterprise software deployments
