The Role
- Observe warehouse workflows and speak directly with operators, supervisors, maintenance teams, buyers and integration partners. Combine site visits, customer interviews, usage data and win/loss analysis to identify unmet needs and validate demand.
- Define target segments, priority use cases, competitive positioning and the conditions in which the product is a strong fit. Evaluate alternatives, including existing manual processes and other automation, and recommend opportunities to pursue, defer or stop.
- Own the product vision and multi-year roadmap, balancing new capabilities, reliability improvements, customer commitments and platform reuse. Prioritise investments using customer value, market potential, evidence, cost, risk and engineering capacity.
- Build business cases covering addressable demand, customer payback, pricing and packaging, product cost, deployment effort and lifetime service costs. Set cost and margin objectives with Finance, Engineering and Operations; track commercial results with Sales and refine the investment case as evidence changes.
- Own business and product requirements (BRDs and PRDs), use cases, operating assumptions and measurable acceptance criteria. Work with Systems and domain Engineering to derive traceable system and subsystem requirements and assess changes.
- Define sustained throughput, accuracy, availability, parcel and payload ranges, footprint, scalability and operator productivity targets under representative workloads. Specify installation, recovery, diagnostics and serviceability needs so performance claims reflect real operating conditions.
- Define operator and supervisor workflows, exception handling, reporting and warehouse software integration needs. Work with design and engineering teams to make systems practical to learn, operate, recover and maintain.
- Challenge estimates, dependencies, capacity assumptions and validation evidence with the TPM and engineering leaders. Make explicit scope and priority decisions when performance, cost, reliability or timing changes, and drive timely resolution of decisions affecting customer commitments.
- Assess technical alternatives for their customer value and lifecycle implications. Ensure intended use, safety and compliance requirements inform product decisions from the start, with engineering and functional safety owners retaining technical approval.
- Define customer hypotheses, target outcomes and evidence for concept, prototype, pilot and production gates. Use representative workload sand, where appropriate, simulation with Engineering to test assumptions, assess capacity and validate sizing claims before scaling.
- Agree pilot baselines, supported configurations, acceptance criteria and rollout conditions with customers, Solutioning, Engineering and Delivery. Own the product acceptance assessment and launch recommendation; use results to decide whether to scale, iterate or stop.
- Lead product launch planning with Sales, Marketing, Solutioning, Operations and Service. Equip teams with clear positioning, validated capabilities, sizing limits,pricing guidance, demonstrations, documentation and training requirements; measure adoption and realised value after deployment.
- Define standard capabilities and configurable options.Evaluate customer-specific requests against strategic value, repeatability, engineering effort and support cost. Keep proposals and commitments within validated productlimits, with exceptions explicitly assessed and approved.
- Own the improvement backlog. Define product metrics and instrumentation requirements with Engineering, establish reliable baselines, and prioritise work using telemetry, customer feedback and recurring field issues. Verify with Engineering and Service that releases improve customer outcomes.
- Own product policies and requirements for supported variants, compatibility, upgrades, migration, component obsolescence and end of life. Align lifecycle decisions with Engineering, Supply Chain and Service, including the cost and operational impact on installed systems.
- Typically 10-15 years of relevant experience, including 5+ years owning hardware and software products. Product decisions, technical judgment and results matter more than tenure alone.
- Evidence of taking a complex product from discovery through production and customer deployment, with measurable outcomes after launch.
- Engineering grounding across mechanical systems, electronics, embedded software, controls, power and software architecture, sufficient to challenge assumptions and assess system trade-offs.
- Experience with structured NPD, pilot builds, change control and software releases. Understand how design risk reviews, DFMEA and validation evidence inform product decisions.
- Strong commercial and analytical skills: assess customer ROI, product economics and pricing, analyse operational data, and defend investment and priority decisions.
- A record of influencing multidisciplinary teams, negotiating scope and commitments, and communicating clearly through product requirements, decision papers and leadership reviews.
- An engineering or related technical degree; an MBA or relevant postgraduate qualification is helpful. Comfort working with customers on the warehouse and factory floor.
- Customer-validated releases meet acceptance criteria, gain adoption and create commercial opportunities, with warehouse improvements verified against agreed baselines.
- Customer payback and product economics improve against agreed cost, margin, deployment and service baselines.
- Deployments and upgrades become more repeatable, with greater platform reuse, clearer commitments and fewer recurring field issues.
Skills Required
- 2-4 years of experience in Product Management
- 2+ years owning software in robotics, industrial automation, IoT, or enterprise SaaS
- Experience across at least two of robot software, fleet management, integration products, or operator UI
- Strong grasp of agile delivery, API design, release management, and production observability
- Proficiency in SQL, Python notebooks, or BI tools
- Ability to write PRDs, API contracts, and user stories and work with software engineers
- UX research skills, including user interviews, usability testing, and journey mapping
- Excellent communication and stakeholder management skills
- Data-driven approach to defining and tracking product KPIs
- B.Tech or B.E. in Computer Science, Electronics, Robotics, or a related discipline
- Familiarity with WMS/WCS platforms and warehouse fulfillment workflows
- Experience with AMR or AGV fleet management platforms
- Exposure to REST, webhooks, event-driven architectures, or Kafka
- Knowledge of cloud-native architectures, microservices, and edge computing
- Experience with design systems and WCAG accessibility for industrial UIs
- MBA or M.Tech in Product or Systems Engineering
- Experience in a high-growth startup or Series A-C environment
What We Do
Unbox Robotics builds software-defined robotics systems to enable logistics players to automate and radically improve their operations on-demand in a limited footprint and capital. We are applying proprietary Swarm Intelligence and ML algorithms inspired by nature to redefine the way companies sort and ship orders. Our 1st product UnboxSort is the world's first of its kind patented AI-powered parcel sorting robotic system that gets installed in <2 weeks, saves ~50% - 80% area, and improves productivity by > 3X to 5X. We have a strong team of alumni from the National University of Singapore, the University of York, and the Indian School of Business with international experience in robotics, manufacturing, and logistics. We are backed by 3one4 Capital, Sixth Sense Ventures, SOSV, Entrepreneur First, Redstart Labs (Info Edge), Arali Ventures, CIIE, Beenext, WEH Ventures, Force Ventures, Veda VC, and an impressive set of angel investors.









