Boam AI
Strategy Director (Partnerships & Client Delivery)
- Location
- Cape Town, Western Cape, ZA
- Arrangement
- Hybrid
- Employment type
- Full-time
- Level
- Director
- Posted
- 19 August 2026 (about a month ago)
Checked about a month agoApplications go to the employer, never to RoleSprint
About this role
Boam AI provides the managed data and intelligence layer behind some of the world’s leading enterprises. We continuously transform messy, unstructured information from public, private, and proprietary sources into reliable, actionable, and always up-to-date intelligence on millions of SMBs and enterprises. That intelligence powers CRMs, data warehouses, AI applications, and mission-critical decisions across the enterprise.
Boam AI is already at an inflection point: strong product-market fit, marquee customers including Uber Eats and Toast, rapid growth, and a profitable foundation. Now we’re ready to scale our enterprise partnerships with the same discipline that built our team and product. This is a senior, high-ownership, leadership role with top-tier compensation and meaningful equity.
As Strategy Director (Partnerships & Client Delivery), you’ll work directly with the CEO and become the senior owner of our most important enterprise initiatives once a partnership reaches the pilot stage. You’ll solve complex strategic, technical, and operational problems spanning customers, Product, Engineering, and ML, then turn what works into systems that can scale.
You’ll sit at the intersection of our largest enterprise partners and our Product, Engineering, and ML teams, helping shape successful delivery as well as the future direction of the product itself.
This role is designed for someone coming from top-tier strategy consulting who wants to move from advising companies to building, operating, and eventually leading a function.
Every enterprise partnership brings a different mix of strategic, technical, and organizational complexity. How do we turn what we learn from customers into better products and operating models? How do we build a delivery system that works exceptionally well today and scales globally tomorrow? Your job is to structure these problems, drive decisions, and turn the answers into repeatable systems.
You’ll build on the systems, playbooks, and processes already supporting our enterprise partnerships: codifying what works, improving what doesn’t, and building what’s missing.
Initially, you’ll personally own our most important enterprise initiatives and refine the model behind them. Over time, you’ll build and lead the team that scales it globally.
WHAT YOU'LL DO
- Solve high-stakes enterprise problems from pilot through expansion
- Own client delivery from pilot → implementation → delivery → expansion
- Align Product, Engineering, and ML teams around enterprise outcomes
- Turn customer needs into clear product and technical priorities
- Build operating models and playbooks that future teams will run
- Turn successful implementations into scalable, repeatable systems
- Use customer insight to influence product strategy and roadmap decisions
- Drive complex cross-functional initiatives through ambiguity
- Produce executive-quality analyses, recommendations, and materials
- Use AI to accelerate analysis, communication, and execution
YOU MIGHT BE A FIT IF...
- Typically 4–7 years at McKinsey, BCG, Bain, or a comparable strategy firm
- Ideally operating at Project Leader, Engagement Manager, or Manager level
- Exceptional relationship builder who earns trust with senior executives
- Outstanding written and spoken English with strong executive presence
- Thrive on ambiguous, high-stakes problems with no existing playbook
- Highly analytical with strong judgment and prioritization skills
- Comfortable moving between executive conversations and technical detail
- Experienced working with Product, Engineering, Data, or technical teams
- Enjoy building operating models instead of solving problems one-off
- Extremely responsive, dependable, and biased toward action
- Comfortable influencing teams and executives without formal authority
- AI-native and constantly looking for better ways to work
- Want significantly more ownership than a traditional advisory role provides
STRONG PLUSES
- Technical, engineering, quantitative, or data-oriented background
- Technology, data, AI, or digital transformation consulting experience
- Experience designing operating models or major transformation programs
- Enterprise SaaS, CRM, data platform, or implementation experience
- Experience hiring, mentoring, or leading high-performing teams
WHY BOAM AI
- Move from advising enterprise leaders to directly owning outcomes
- Build an entire company function, not simply inherit one
- Hire and lead that organization as the company scales
- Work directly with the CEO on the company’s highest-priority initiatives
- Work with senior executives at some of the world’s leading enterprises
- Influence product strategy through direct exposure to customer problems
- Work at the intersection of strategy, Product, Engineering, ML, and customers
- Join a profitable, rapidly growing AI company with strong enterprise traction
- Receive top-tier compensation with meaningful equity upside
- Help build a global, category-defining company from the inside
The position is based in Miami, Budapest, or Cape Town.
Remote option for this role is not offered.
Locations
- Cape Town, Western Cape, ZA
- Budapest, HU
- Miami, FL, US
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About this listing
Published on Ashby under the board identifier Boam, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 19 August 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.