Senior Technical Account Manager (Strategic Accounts & Partnerships)

Socket.dev; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Equity stakes

Health coverage

Paid time off

Worksite flexibility by role

Job summary

Sanctuary AI seeks a Technical Account Manager to bridge customer operations with ML and engineering teams across our Solutions, Deployment and Research groups. You will own enterprise accounts end to end—from discovery through pilot to scaling—translating real-world tasks into deployable cells and driving lighthouse projects with customers and partners.

Reporting to the Commercial team, you will map tasks, build ROI cases, qualify integrators and vendors, and help shape the product roadmap

Qualifications

• Engineering or Economics degree + robotics, manufacturing, or warehouse exposure.
• 5–7+ years in technical account management, solutions engineering, or consultative sales for robotics or ML platforms.
• Experience with large multinational accounts (e.g., Amazon, Toyota) and peers at that scale.
• Experience qualifying, structuring, or running partnerships with technology vendors.

Responsibilities

• Own a portfolio of strategic enterprise accounts end to end—from discovery to pilot to scaling.
• Run consultative motion: map operations on-site and build ROI cases that survive finance review.
• Translate requirements into technical scope and inputs for Solutions/Deployment.
• Lead 1–2 lighthouse projects per year and unblock delivery with cross‑functional teams.
• Own the technical narrative with automation, ML, and engineering leaders.
• Manage inbound/outbound partnership requests and qualify technical fit.
• Feed customer requirements back into product/research roadmaps for growth.
• Own account forecast, expansion pipeline, and commercial structure with BU leadership.

Skills

Technical account management

Solutions engineering

Enterprise sales

Stakeholder management

Written communication

Education

Engineering or Economics degree

Job description

Your New Role and Team

Sanctuary deploys its Embodied Intelligence Platform on industrial hardware into customer facilities. Our largest customers are global logistics, retail, and manufacturing operators — organizations that buy on operational evidence, not on a pitch deck, and that expand only when a first cell has proven itself on their floor.

This role is the technical owner of those relationships. You will sit between the customer's operations and ML teams and our Solutions, Deployment, and Research teams, translating real work — the tasks, cycle times, and constraints of a live facility — into deployable cells, and translating what we learn back into product direction. You will also be the front door for partnership requests, qualifying integrators, OEMs, and technology partners against what our stack actually needs.

Reporting to the Commercial team but you will work with Solutions, Deployment, Product Launch, Research/ML, Partnerships

Our Success Criteria

• Own a portfolio of strategic enterprise accounts end to end — from first technical discovery through pilot before handing over for scaling and deployment, and multi-site fleet expansion.




• Run the consultative motion: map customer operations on-site, identify the tasks where dexterous manipulation actually pays, and build the business case (throughput, cost-per-task, ROI, payback) that survives their finance review




• Translate operational requirements into technical scope Solutions and Deployment can execute against — task definition, cell design inputs, data collection plans, and acceptance criteria the customer signs




• Drive 1–2 strategic projects per year that come out of these accounts in conjunction with the customer success team — a lighthouse deployment, a new task category, a multi-site expansion framework — as the accountable stakeholder who unblocks and delivers, not as a coordinator




• Own the technical narrative with the customer's automation, ML, and engineering leaders: how the platform learns, how teleoperation and demonstration data become policies, what imitation learning and behavior cloning do and do not solve today, and where the capability boundary sits




• Manage inbound and outbound partnership requests — potential technology partners, automation OEMs, infrastructure and data partners — qualifying technical fit against the stack.




• Feed structured customer requirements back into the product and research roadmap — which tasks matter, and what dexterity, reliability, and autonomy thresholds unlock the next tranche of spend




• Own the account forecast, expansion pipeline, and commercial structure for your portfolio in partnership with BU leadership

Qualifications

• Engineering or Economics degree + industry experience and exposure to robotics, manufacturing or warehouse customers, physical AI systems.




• Working fluency in modern robot learning: imitation learning, behavior cloning, demonstration and teleoperation data collection, policy evaluation, and multimodal foundation models.




• 5-7+ years in technical account management, solutions engineering, or consultative enterprise sales for robotics, industrial automation, ML platforms, or capital equipment




• Demonstrated working with large multinational accounts — e.g Amazon, Toyota, Novartis etc. and peers at that scale, but also smaller boutique companies.




• Experience qualifying, structuring, or running partnerships with technology vendors.

Skills

• Consultative discovery — able to stand on a distribution centre or plant floor, watch a process, and say precisely where the technology fits, where it does not yet, and what would change that




• Numerate and cost-aware; can build and defend a throughput and ROI model in front of a customer's finance and operations leadership




• Understands the fundamental stack — hardware, control, perception, learning, data pipeline, and on-prem, cloud, and air-gapped deployment — well enough to qualify a partnership request without engineering hand-holding




• Able to own strategic projects across functions through influence rather than authority




• Strong written communicator: technical proposals, deployment scopes, executive readouts, and customer-facing documentation

Traits

• Credible in both rooms — the operations floor and the ML team — and comfortable switching between them in the same day




• Honest about the capability boundary; sells what the platform can do today and builds trust that carries the roadmap




• Comfortable being the single accountable owner of an account and a project




• Pragmatic and data-driven; prioritizes the customer problems that actually drive expansion




• Proactively pulls customer reality upstream into product and research rather than downstream




• Adaptable in a fast-paced environment where products and processes are still evolving




• Working at Sanctuary AI

Sanctuary AI is an equal opportunity employer; employment with Sanctuary AI is governed based on skills, competence, and qualifications and will not be influenced in any way by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. In 2023, Sanctuary AI moved into a state-of-the‑art office facility and has been recognized by LinkedIn as a Top Startup company.

Compensation and Benefits

Sanctuary offers a market‑leading compensation package that includes competitive salaries, equity stakes, and a full suite of benefits for permanent employees, encompassing health coverage, paid time off, cutting‑edge work facilities, and worksite flexibility by role. Our commitment to fairness ensures that our total compensation consistently surpasses market standards.

About Sanctuary AI

Founded in 2018, Sanctuary builds humanoid robots and a novel control system for them that integrates symbolic logic and reasoning with data‑driven robot foundation models. We use our robots to collect vision, audio, touch, and proprioception data from the perspective of the robot while they perform real‑world work tasks. We use that data to train multimodal robot foundation models. Because our systems are vertically integrated, we can design, deploy, and refine at scale. Our mission is to create the world's first human‑like intelligence platform for robots.