Business Capability Analyst (Back Office & Supply Chain)

What You’ll Do:

• Build and enhance core business capabilities across procurement, inventory, logistics, and finance spanning processes, roles, controls, automation, and tools.
• Lead end-to-end redesign of operational workflows and implement scalable operating models that support rapid organisational growth.
• Drive transformation initiatives that transition teams from manual processes to integrated, automated, and well-governed systems.
• Define process ownership, roles & responsibilities, and internal controls to ensure compliance, traceability, and clarity across the organisation.
• Lead the adoption of new processes and tools through structured change management and cross-functional alignment.
• Define KPIs, SLAs, and governance frameworks to ensure measurable performance and consistent execution.
• Oversee ERP integrations and digital tool architecture (ERP,  Jira, Confluence) to ensure cohesive and scalable digital operations.
• Manage transformation and process-improvement projects end-to-end, including planning, execution, risk management, and stakeholder communication.
• Act as an independent driver of continuous improvement, proactively identifying gaps, proposing solutions, and delivering business impact.

We’re Looking For:

• 5–10 years of experience in business process design, operational transformation, or business capability development.
• Strong understanding of business capabilities, operating models, and control frameworks.
• Proven ability to lead cross-functional change initiatives and drive adoption across operational and technical teams.
• Experience delivering projects independently, with strong ownership, structure, and attention to detail.
• Hands-on experience with ERP systems, process automation, Jira, Confluence, and digital tool integration.
• Ability to work autonomously in a fast-moving environment, propose solutions proactively, and influence stakeholders at all levels.
• Analytical and structured mindset with strong communication and documentation skills.
• Passion for solving problems, improving systems, and building scalable organisational foundations.

Nice to have

• Bachelor’s or Master’s in Business Administration, Finance, Supply Chain, or related field

Business Capability Analyst (Manufacturing)

What You’ll Do:

• Define and mature manufacturing capabilities (planning, assembly execution, production readiness, configuration and change control).
• Establish clear roles, responsibilities, and ownership models within each capability.
• Build end-to-end capability maps linking engineering design to manufacturing execution.
• Map and analyse as-is and to-be processes to identify gaps and inefficiencies.
• Define and document inputs, outputs, quality gates, KPIs, and control mechanisms.
• Support process governance through checklists, audits, and maturity assessments.
• Translate capability requirements into PLM, ERP, MES, and Jira configuration needs.
• Ensure workflows are supported by appropriate digital tools and data structures.
• Define integrations across engineering, manufacturing, and supply chain systems.
• Collaborate with Engineering, Manufacturing, Supply Chain, Test & Validation, IT, and Quality teams.
• Facilitate stakeholder reviews, incorporate feedback, and refine capability designs.
• Support change management to drive adoption of new workflows and controls.
• Identify execution bottlenecks and propose data-driven improvements.
• Contribute to the capability improvement roadmap for Beta and Production readiness.
• Ensure capabilities and processes scale and remain compliant as the organisation grows

We’re Looking For:

• 5+ years in manufacturing operations, industrial engineering, or hardware production environments.
• Experience supporting early-stage hardware/robotics teams (Alpha/Beta builds).
• Strong understanding of manufacturing planning, assembly operations, and configuration management.
• Familiarity with PLM (Teamcenter/Windchill), ERP, MES, and workflow tools like Jira.
• Knowledge of Lean, Six Sigma, APQP, or digital manufacturing methodologies is a strong plus.
• Ability to work with capability frameworks, process mapping, and governance structures.

Business AI Lead (Back Office)

We are a next‑generation humanoid robotics company building safe, reliable, and cost‑effective robots for industrial environments. Our engineering organization spans software, hardware, systems, test, and manufacturing — and our ability to continuously improve these capabilities defines our long‑term advantage.

We are now embedding an AI‑Powered Continuous Improvement Flywheel across the company to drive up the level of automation, accuracy, and velocity in how we design, test, and manufacture our robots.

You will lead the identification and implementation of AI opportunities across Finance, HR, Supply Chain, Legal, and Compliance.

From intelligent document processing to financial forecasting to supply risk detection, you’ll help these functions transition from manual workflows to data‑driven, AI‑augmented operations.

You’ll work closely with functional heads, IT, and the Business AI Lead to design responsible and compliant AI systems that enhance – not replace – human judgment.

What You’ll Do:

1. Automation & Process Improvement
   • Identify repeatable, rule‑based workflows ripe for AI enablement.
   • Lead pilots in financial reporting, compliance monitoring, or supplier data enrichment.
   • Quantify efficiency and accuracy improvements, reporting back to function heads.
2. Architecture & Governance
   • Collaborate with IT on data quality, tool integration, and security.
   • Work with Compliance to ensure adherence to regulatory and ethical standards.
   • Define KPIs for AI impact across each back‑office capability.
3. Adoption & Scaling
   • Build partnerships with capability owners to sustain adoption.
   • Share learnings and reusable automation frameworks across functions.

We’re Looking For:

• 8+ years in business operations, transformation, or automation leadership.
• Deep familiarity with Finance, HR, or Supply Chain systems (ERP, HCM, etc.).
• Experience deploying AI, RPA, or analytics tools in operational contexts.
• Strong analytical mindset with an ability to translate business problems into data/AI solutions.

Nice to have

• Experience with compliance automation or internal audit analytics.
• Background in industrial, manufacturing, or complex product organizations.
• Familiarity with process mining and intelligent document understanding tools.

Business AI Lead (Engineering)

We are a next‑generation humanoid robotics company building safe, reliable, and cost‑effective robots for industrial environments. Our engineering organization spans software, hardware, systems, test, and manufacturing — and our ability to continuously improve these capabilities defines our long‑term advantage.

We are now embedding an AI‑Powered Continuous Improvement Flywheel across the company to drive up the level of automation, accuracy, and velocity in how we design, test, and manufacture our robots.

The Business AI Lead – Engineering will be central to this transformation, helping our engineers use AI as a co‑engineer: accelerating design iteration, simulation, validation, and manufacturing readiness.

As Business AI Lead – Engineering, you will identify, develop, and scale AI solutions that enhance productivity, reliability, and innovation across our full engineering value chain.

You will collaborate deeply with capability owners in Software, Mechanical, Electrical, Systems, Test, and Manufacturing engineering to automate key workflows, improve design quality, and reduce engineering cycle time — all while ensuring that outputs remain accurate, secure, and compliant.

You’ll be part of a growing cross‑functional business AI team that operates alongside our Transformation and IT groups to embed AI into the way we work every day.

What You’ll Do:

1. AI Enablement for Engineering
   • Identify high‑impact use cases across R&D, validation, and production engineering.
   • Deploy AI copilots, simulation tools, and optimization engines into engineering workflows.
   • Define measurable performance gains and lead pilot‑to‑scale deployment cycles.
2. Integration & Collaboration
   • Work with IT to integrate AI into PLM, CAD, test, and data systems.
   • Partner with Engineering Capability Owners to align AI initiatives with maturity targets.
   • Ensure secure handling of engineering data and models.
3. Performance & Quality
   • Measure and report automation, accuracy, and adoption metrics.
   • Use AI‑driven insights to accelerate design-for-excellence reviews and failure analysis.
   • Support DFX and reliability efforts with predictive analytics.

We’re Looking For:

• 7+ years in engineering leadership, R&D operations, or data/AI enablement within complex hardware or robotics systems.
• Deep understanding of software or hardware engineering workflows and tools.
• Experience applying AI or ML models to design, simulation, test, or manufacturing.
• Strong cross‑functional communicator with a track record of operational improvement

Nice to have

• Experience with generative design, code copilots, or AI‑assisted verification.
• Background in robotics, industrial automation, or aerospace product development.
• Familiarity with DFX, reliability, and PLM integration.

Head of Business AI

We are creating a new cross‑functional “AI‑Powered Continuous Improvement Flywheel” — embedding artificial intelligence into our transformation rhythm to continuously drive up automation, accuracy, and efficiency across the organization.

The Business AI Lead will guide this effort company‑wide: defining strategy, shaping architecture, aligning teams, and ensuring responsible, measurable adoption of AI across all value streams.

What You’ll Do:

1. AI Strategy, Operating Model & Governance
   • Define the company’s AI strategy, vision, and flywheel execution cadence.
   • Lead the design of the AI operating model across people, processes, tools, and controls.
   • Establish frameworks for ethical, secure, and responsible AI deployment.
   • Report strategic outcomes, risks, and opportunities to executive leadership.
2. Enterprise AI Architecture Ownership
   • Define and maintain the company’s AI architecture: from platform selection to deployment patterns.
   • Work with IT to ensure AI systems integrate securely and scalably across business functions.
   • Own the enterprise AI tool registry and ensure consistency across domains.
   • Govern technical decisions related to LLM usage, proprietary models, and workflow integration.
3. Cross‑Functional Alignment
   • Lead and coordinate a team of domain‑specific AI Leads.
   • Ensure alignment of all AI initiatives with business capability maturity targets.
   • Resolve overlaps or conflicts across engineering, back office, and executive automation.
4. Performance, Impact & Adoption
   • Define and track KPIs for automation maturity, output accuracy, adoption, and ROI.
   • Drive internal reporting and stakeholder education on AI performance and trends.
   • Establish internal education programs to improve AI fluency company‑wide.
   • Continuously evaluate emerging AI technologies and practices.

We’re Looking For:

• 5+ years of experience leading business AI strategy, digital transformation, or enterprise automation initiatives.
• Deep understanding of applied AI/ML tools, data architecture, and governance.
• Proven ability to drive cross‑functional collaboration between business, IT, and compliance.
• Strong systems thinker who balances innovation with operational discipline.
• Exceptional communication and executive stakeholder management skills.

Nice to have

• Experience in robotics, advanced manufacturing, or complex product environments.
• Track record of embedding AI into both technical (engineering) and administrative (back office) processes.
• Familiarity with capability maturity or continuous improvement frameworks (e.g., CMMI, Lean).

Digital Engineering Tools & Platform Manager

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.


Our Mission

At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

Vision

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

About the Role

As Digital Engineering Tools & Platform Manager, you will own and evolve Humanoid’s engineering tooling ecosystem across mechanical, electrical, simulation, and robotics disciplines.

This is a hands-on technical role focused on defining standards, enabling engineering velocity, and ensuring reliable data flow from CAD through simulation, robotics, and manufacturing.You will act as the Siemens NX (NXX) subject-matter authority, defining modelling best practices, methodologies, and automation patterns, while partnering closely with engineering leadership to scale effective ways of working.

What You’ll Do

• Mechanical, Electrical, Robotics, Simulation, and Controls Engineering teams
  
• The PLM Architect, who owns Teamcenter X configuration, data schema, and lifecycle governance
  
• IT and Platform teams, to ensure secure, performant, and scalable tooling environments
  
• The IT Director, to align engineering tooling strategy with company growth
  Engineering CAD & ECAD Platform Ownership
• Own the installation, configuration, and optimisation of Siemens NX (NXX) and Altium Designer for mechanical and electrical engineering teams.
  
• Define and maintain NX modelling methodologies, templates, drafting standards, and reuse libraries.
  
• Act as the NX best-practice authority and escalation point for modelling, assemblies, WAVE linking, parametrics, and performance.
  
• Ensure tooling configuration supports consistent, scalable engineering practices rather than ad-hoc usage.
• Digital Engineering & Robotics Integration
• Enable reliable CAD → simulation → robotics data pipelines across mechanical, electrical, and controls domains.
  
• Support and guide engineers in generating and maintaining URDF-compatible robot models from NX.
  
• Define workflows for geometry simplification, joint configuration, mesh preparation, and coordinate-system discipline.
  
• Maintain and improve integration pipelines for Isaac Sim / Omniverse, including USD conversion, asset libraries, and validation practices.
  
• Ensure consistency of kinematics, mass properties, and interfaces between CAD, simulation, and deployed robotic systems.
• Automation & Engineering Velocity
• Develop and maintain automation scripts and tooling using NXOpen, Python, or equivalent to remove repetitive manual work.
  
• Streamline engineering data flows from design through simulation and manufacturing.
  
• Proactively identify friction points in the engineering toolchain and implement pragmatic improvements.
  
• Enable engineers to move faster without sacrificing data quality or downstream reliability.
  
• MCAD / ECAD Data & Release Enablement
• Define standards for MCAD–ECAD alignment, including housings, PCBs, connectors, harnessing, and subsystem integration.
  
• Maintain governance over standard component libraries for both NX and Altium, in partnership with engineering leads.
  
• Support design reviews, BOM validation, configuration control, and release-to-build workflows.
  
• Collaborate with the PLM Architect to ensure CAD practices align cleanly with Teamcenter X lifecycle and change-management processes.

We’re Looking For

• Deep, hands-on expertise in Siemens NX (NXX) within production engineering environments and strong experience on NX best practice.
  
• Demonstrated experience defining and enforcing CAD methodologies and best practices, not just using the tool.
  
• Strong understanding of top-down modelling, skeleton models, WAVE linking, parametric design, and assembly performance.
  
• Experience integrating CAD data into simulation and robotics workflows (e.g. URDF, digital twins, kinematic models).
  
• Practical automation experience using NXOpen, Python, or similar, applied to real engineering problems.
  
• Ability to work credibly with senior mechanical, electrical, and robotics engineers.
  
• Comfortable operating in a fast-moving, scale-up environment — pragmatic, outcome-driven, and ownership-oriented.
  
• Excellent communication skills, able to translate technical standards into everyday engineering practice.
  

Desirable

• Experience working alongside Teamcenter X or similar PLM platforms.
  
• Exposure to Altium Designer and MCAD–ECAD collaboration workflows.
  
• Familiarity with robotics simulation platforms such as Isaac Sim, Omniverse, or equivalent.
  
• Experience supporting multi-disciplinary engineering teams in robotics, mechatronics, or complex electromechanical products.
  

Prior experience improving engineering velocity through tooling or automation.

What We Offer

• Competitive salary plus participation in our Stock Option Plan.
• Paid vacations.
• Travel opportunities to our Vancouver and Boston offices.
• Office perks: free lunches.
• Freedom to influence the product and own key initiatives
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Startup culture prioritizing speed, transparency, and minimal bureaucracy.

How to Apply

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