Deployment Strategist
Join Endeavor as a Deployment Strategist to build long-term partnerships and drive AI solutions in enterprise environments.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Our software combines LLMs, voice AI, and vision models to make physical operations intelligent.
Requirements
- Experience
- 4+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Deployment Strategist at Endeavor, the individual is responsible for managing client relationships, facilitating executive meetings, and ensuring successful project outcomes that lead to long-term partnerships. Key skills include a strong background in management consulting or enterprise technology, along with the ability to communicate effectively about AI and data-driven solutions. This position is ideal for someone with significant experience in high-stakes environments who can navigate complex client dynamics and drive strategic decisions. Endeavor's focus on bridging advanced AI technologies with real-world applications makes this role pivotal in their mission.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Endeavor's career page.
- Endeavor has 4 other open roles including Forward Deployed Engineer, Early Career, Senior Software Engineer, Business Operations, Product.
- 5148 active AI/ML roles on Joblaze right now.
- 25 active Enterprise Technology roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- How much experience is required?
- At least 4 years of relevant experience for this Deployment Strategist role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Enterprise Technology.
- What seniority level is this role?
- Endeavor targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Deployment Strategist role at Endeavor.
From the original posting
Endeavor is real-world enterprise AI.
We are the AI partner for the physical world serving factories, warehouses, job sites, and the enterprises that run them.
We are building the last mile for AI, deploying into organizations, earning C-level buy-in, and becoming their exclusive partner for business transformation. Our software combines LLMs, voice AI, and vision models to make physical operations intelligent. We are helping companies make better decisions, automate manual processes, and drive real revenue.
While labs build the models of the future, we build the last-mile delivery for them. We must model complex environments, deliver reliable results, and bridge the gap between models and the antiquated ecosystems in which they must operate.
Our Principles:
We are bold, especially when the world tells us what we’re doing is impossible.
We are truth-seeking, choosing clarity over comfort.
We will win. And we work really hard to win.
The Role | Deployment Strategist
This is a client-facing role where you’ll run complex agreements, earn trust in the boardroom, and turn a beachhead into a long-term partnership. You’ll own the client relationship from kickoff through expansion by running executive steercos, aligning internal and external stakeholders, and making sure we deliver outcomes that justify deeper investments. To do this, you’ll be working closely with Forward Deployed Architects and their engineering teams who will write the code and help deliver what you prioritize.
What We Require:
4+ years of experience in management consulting (i.e., McKinsey, Bain, BCG), enterprise technology, or a high-growth B2B environment with an MBA.
Proven track record running executive-level relationships and growing accounts.
Comfortable owning a room – steercos, QBRs, board updates – and driving decisions.
Ability to build a credible ROI case from scratch and understand what drives that forward.
Technical fluency to hold a real conversation about AI, data, and software.
Ability to travel.