Head of Solutions Engineering

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.

Humanoid is seeking a Head of Solutions Engineering to turn customer operational needs into feasible, commercially compelling robotics solutions. Based in Boston, you will partner with the Commercial, Product, Engineering and Deployment teams to lead technical discovery, define customer requirements and build a clear path from initial evaluation to scaled deployment.
Initially, you will be the core individual contributor: personally visiting customer sites, designing solutions, developing technical proposals and creating the pre-sales material the Commercial team needs. As demand grows, you will establish and lead the Solutions Engineering function across the UK/EU, US and MENA, hiring and developing regional engineers while retaining direct involvement in strategic opportunities.

• Customer discovery and requirements:

• Lead customer site visits and operational assessments to understand workflows, volumes, layouts, materials, shift patterns and constraints; identify repeatable, high-value use cases for humanoid robotics.

• Align customer Operations, Engineering, IT, Safety, Procurement and executive stakeholders on the problem to solve and measurable success criteria, including throughput, availability, accuracy and human intervention.

• Build credible business cases and fleet-sizing models covering utilisation, labour assumptions, total cost of ownership, payback and sensitivity to performance and deployment ramp-up.

• Solution design and Product partnership:

• Define solution concepts, workflows, layouts, robot configurations, infrastructure and interfaces with customer systems such as WMS, MES, ERP and existing automation.

• Work with Product and Engineering to validate feasibility, distinguish demonstrated capabilities from development requirements, and agree capability gaps, owners, validation plans and realistic timelines.

• Translate customer demand into prioritised Product requirements, balancing commercial value, engineering effort and the potential to reuse capabilities across customers.

• Identify safety, cybersecurity and deployment compliance requirements, coordinating with the relevant specialists and documenting the actions needed for customer approval.

• Technical pre-sales and commercial enablement:

• Own the technical content of proposals, solution specifications, statements of work, RFI/RFP responses and customer technical due diligence, working with Commercial and Legal on commitments.

• Provide technical cost and resource estimates to support pricing, deployment planning and commercial risk assessment.

• Create and maintain the full pre-sales technical library: capability and performance evidence, use-case descriptions, technical presentations, reference architectures, layouts, integration guides, FAQs, demonstration assets, business-case models and requirements/SOW templates.

• Train Commercial colleagues and relevant partners to qualify use cases, gather the right site data and communicate approved technical capabilities consistently.

• Use operational modelling and simulation to assess suitability and deployment economics, including Humanoid AnalitIQ where appropriate.

• Validation, acceptance and deployment handover:

• Define the technical scope of demonstrations, proofs of concept and pilots, including baseline measurements, test conditions, resources, milestones, pass/fail criteria and the evidence required for acceptance.

• Work with Commercial to connect each evaluation to a measurable long-term business case and a credible path to larger fleet or multi-site deployment.

• Coordinate technical input to trials with Product, Engineering and Deployment; evaluate results, resolve gaps and translate learning into revised requirements and reusable material.

• Build and lead the global function:

• Define the Solutions Engineering operating model, ownership, technical review process and engagement with regional sales teams, Product, Engineering and Deployment.

• Develop a phased hiring and coverage plan across the UK/EU, US and MENA, aligned to pipeline value, opportunity complexity, travel demand and delivery capacity.

• Recruit, onboard, coach and lead regional Solutions Engineers, establishing consistent standards for discovery, solution design, technical documentation and commercial judgement.

• Establish the tools, CRM discipline, knowledge base and reporting needed to track requirements, feasibility decisions, proposal progress, technical risks and team performance.

• 8+ years of proven experience in Solutions Engineering, Solutions Architecture, Pre-Sales Engineering or a similar customer-facing technical role, ideally within robotics, industrial automation or complex hardware solutions.

• Solid understanding of industrial workflows, automation systems and integrations with platforms such as WMS, MES and ERP.

• Strong commercial acumen, with experience building business cases, ROI models, fleet-sizing estimates, TCO assessments and deployment cost models.

• Ability to work cross-functionally with Commercial, Product, Engineering, Deployment and customer stakeholders to validate feasibility, manage technical risks and align on delivery commitments.

• Direct experience with humanoid robotics, autonomous mobile robots (AMRs), industrial robotics or AI-driven automation.

• Familiarity with operational modelling, simulation tools and robotics deployment economics.

• Experience scaling a Solutions Engineering or technical pre-sales function in a high-growth technology company.

• Willingness to travel to customer sites and work closely with teams and customers across the UK/EU, US and MENA.

   

• Competitive equity: stock options with meaningful upside as we scale.

• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).

• Private healthcare, including virtual and in-person care.

• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in-office.

• Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.

• Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.