Humanoid

About the Company

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 can imagine millions of bipedal robots doing more work than all human labour does today freeing people from the servitude of some repetitive and boring tasks that nobody likes to perform.

We believe that we have enough abundance to take care of everyone who is displaced. Eventually, providing a universal basic income will lead to the true evolution of our civilization.

Labor shortages loom, as the demands on our built environment rise. 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.

Listed Jobs

Company Name

Humanoid

Job Title

Head of Business AI

Job Description

**Job Title:** Head of Business AI **Role Summary:** Lead the enterprise-wide AI strategy, governance, and architecture to embed responsible, scalable AI across all business functions, driving automation, accuracy, and continuous improvement. **Expectations:** - 5+ years of senior experience in business AI strategy or enterprise automation. - Proven ability to define and execute cross‑functional AI roadmaps with measurable impact. - Strong track record of integrating AI solutions into technical and non‑technical domains. - Demonstrated success in influencing executive stakeholders and driving organization‑wide AI fluency. **Key Responsibilities:** 1. **AI Strategy & Governance** – Define company‑wide AI vision, operating model, ethical and security frameworks; report outcomes, risks, and opportunities to leadership. 2. **Enterprise AI Architecture** – Own platform selection, deployment patterns, and AI tool registry; ensure security, scalability, and consistency across domains. 3. **Cross‑Functional Alignment** – Lead and coordinate domain AI leads; resolve overlaps; align initiatives with business capability maturity targets. 4. **Performance & Impact** – Establish KPIs for automation maturity, accuracy, adoption, and ROI; drive reporting and stakeholder education on AI performance and trends. 5. **Adoption & Education** – Develop internal training programs to improve AI fluency; champion responsible AI practices organization‑wide. 6. **Technology Evaluation** – Continuously assess emerging AI technologies, tools, and best practices for potential adoption. **Required Skills:** - Deep knowledge of applied AI/ML tools, data architecture, and governance. - Experience designing and governing AI operating models and tool registries. - Expertise in ethical, secure, responsible AI deployment. - Strong systems thinking and ability to balance innovation with operational discipline. - Excellent communication, executive stakeholder management, and cross‑functional collaboration skills. - Proficiency in defining & tracking KPIs, ROI analysis, and performance reporting. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - Additional certifications (e.g., Certified AI Professional, Project Management, CMMI) are a plus but not mandatory.

London, United kingdom

On site

Mid level

23-01-2026

Company Name

Humanoid

Job Title

Reinforcement Learning (RL) Engineer, Manipulation

Job Description

Job title: Reinforcement Learning (RL) Engineer – Manipulation Role Summary: Develop and deploy language‑vision conditioned manipulation policies using RL in simulation and on robotic platforms. Build diverse task suites, collaborate on trajectory collection, and establish end‑to‑end real‑world training pipelines while researching sim‑to‑real transfer techniques. Expectations: • 3+ years of experience creating deep‑learning systems with operational models or published research. • Hands‑on expertise with at least one of LLMs, VLMs, or image/video generative models (architecture, training, inference). • Proven skill solving real‑world problems via RL with deep neural networks. • Strong Python proficiency; deep familiarity with PyTorch or JAX, including profiling, numeric debugging, and clean, maintainable code. • Self‑driven, communicative, able to document experiments and articulate trade‑offs clearly. Key Responsibilities: - Design, train, and evaluate RL manipulation policies conditioned on language and vision inputs. - Construct challenging, diverse manipulation task suites within robotics simulators. - Partner with teleoperators to gather and curate trajectory data for behavior cloning. - Collaborate with testing and operations teams to build and maintain real‑world RL training pipelines. - Investigate and implement sim‑to‑real transfer strategies for simulated‑trained policies. Required Skills: - Deep‑learning system development (3+ years). - Reinforcement learning with deep neural networks across domains. - Experience with LLMs, VLMs, or generative model pipelines. - Proficient in Python, PyTorch or JAX, with profiling and debugging. - Familiarity with robotics simulators (e.g., Isaac Sim, MuJoCo). - Knowledge of large‑scale RL infrastructure (e.g., Ray). - Excellent communication and documentation habits. Required Education & Certifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or related technical field.

London, United kingdom

On site

12-03-2026

Company Name

Humanoid

Job Title

Finance Operations Lead

Job Description

**Job title:** Finance Operations Lead **Role Summary:** Lead the day‑to‑day financial operations of a rapidly scaling tech company, ensuring accurate accounting, efficient processes, and robust controls across multi‑entity, multi‑currency environments. Partner with finance leadership and cross‑functional teams to optimize systems, drive continuous improvement, and provide reliable financial insights. **Expactations:** Deliver clean, timely financial records and close processes; design and implement scalable finance workflows and controls; serve as the primary operational finance liaison; maintain compliance with statutory and regulatory requirements; provide actionable data to support strategic decisions. **Key Responsibilities:** - Oversee accounts payable, receivable, payroll coordination, and vendor payments across entities. - Manage month‑end close: reconciliations, journal entries, accruals, and financial statements. - Maintain accurate, timely records in accounting systems for multi‑entity, multi‑currency operations. - Design, document, and refine finance workflows, approval chains, and internal controls. - Lead implementation and optimisation of ERP/accounting tools (NetSuite, Xero, etc.). - Collaborate with engineering, procurement, and operations to improve data quality and reporting. - Support Head of Finance with internal reporting (actuals, burn, vendor spend). - Prepare audit, statutory filings, VAT, R&D claims, and regional compliance documentation. - Act as operational finance contact for functional teams, providing insights, cost optimisation, and spend governance. - Work with FP&A to reconcile plans, actuals, and forecasts. **Required Skills:** - 5+ years in finance operations, accounting, or financial control. - Deep understanding of bookkeeping, PnL, AP/AR, and close processes. - Experience in early‑stage or growth‑stage product businesses (hardware, manufacturing, deep tech). - Proven ability to design processes and implement systems from scratch. - Strong analytical, detail‑oriented, and organised. - Excellent communication and stakeholder management across all levels. - Technical proficiency with ERP/accounting platforms (NetSuite, Xero, etc.). - Familiarity with UK/US/Canadian VAT and R&D tax credits; audit or internal control exposure preferred. **Required Education & Certifications:** - Bachelor’s degree in Accounting, Finance, Business Administration, or related field. - CPA, ACCA, or equivalent professional qualification is a plus.

London, United kingdom

On site

Senior

12-03-2026

Company Name

Humanoid

Job Title

Business Capability Analyst (Manufacturing)

Job Description

**Job Title** Business Capability Analyst (Manufacturing) **Role Summary** Analyze, design, and refine manufacturing capabilities to enable scalable, interoperable workflows across engineering, supply chain, quality, and IT. Translate capability requirements into PLM, ERP, MES, and Jira configurations and support governance, change management, and continuous improvement. **Expectations** - Deliver mature capability models that drive Alpha‑to‑Beta scaling - Ensure compliance, data integrity, and process efficiency across the system stack **Key Responsibilities** - Define and mature manufacturing capabilities (planning, assembly execution, production readiness, configuration and change control) - Establish roles, responsibilities, and ownership within each capability - Build and maintain end‑to‑end capability maps linking engineering design to manufacturing execution - Map and analyze as‑is and to‑be processes to identify gaps and inefficiencies - Document inputs, outputs, quality gates, KPIs, and control mechanisms - Develop process governance tools (checklists, audits, maturity assessments) - Translate capability requirements into PLM, ERP, MES, and Jira configuration needs - Define and implement 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 designs - Drive change management to adopt new workflows and controls - Identify execution bottlenecks, propose data‑driven improvements, and contribute to the roadmap for Beta and Production readiness - Ensure scalability, compliance, and continuous improvement as the organization grows **Required Skills** - 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 such as Jira - Knowledge of Lean, Six Sigma, APQP, or digital manufacturing methodologies (preferred) - Proficiency in capability frameworks, process mapping, and governance structures - Excellent analytical, documentation, and stakeholder communication skills **Required Education & Certifications** - Bachelor’s degree in Industrial/Manufacturing Engineering, Business Operations, or related field (certification in Lean/Six Sigma is a plus)

London, United kingdom

On site

12-03-2026