Head of People & Performance
Job Description
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At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate manufacturing by introducing flexible, intelligent robots that enhance human capabilities, improve quality, reduce waste, and lower costs.
We envision a future where every element of manufacturing—from design to assembly—is optimized with intelligent automation. Our goal is to integrate flexible robotic solutions, powered by generic hardware and advanced software/AI, into manufacturing, particularly for small and medium-sized enterprises (SMEs), making automation economically viable and accessible.
What You Will Do
Own Performance: Design a single performance cycle for the entire company and execute the first cycle. Ensure every leader can articulate who is above, on, or below the performance bar and act decisively within days.
Own Employee Experience: Build a seamless experience for employees from their first day to their last.
Own Compensation and Levels: Develop compensation bands for current roles, not future ones. Standardize pay awards and equity top-ups to ensure defensible offers across the company.
Own Hiring: Manage internal recruiting, embedded partners, and hiring managers. Standardize scorecards and interview packs—no role opens without them.
Own People Operations End-to-End: Handle contracts, onboarding, offboarding, HRIS, employer of record, policies, benefits by country, and payroll inputs. Automate every possible step to eliminate manual processes.
Coach Leadership: Guide leaders and team leads on setting expectations, giving feedback, and conducting hard conversations.
Codify Culture: Translate the company’s culture into hiring, reviewing, and rewarding practices. Act decisively when culture isn’t upheld.
Ensure Compliance: Maintain compliance across more than 10 European countries, including employment structures and ISO documentation.
Who You Are
Built People Systems Before: You’ve worked at a fast-growing company where you built or refined people systems. Experience at a Series A startup (past 100 employees), a larger scale-up, or as an operator in consulting/venture roles is valuable.
Systems Thinker: You understand how changes in one area impact others and design scalable, flexible systems.
Data-Driven: Comfortable with comp bands, equity, and headcount planning. You treat spreadsheets as tools, not replacements for people.
Global Experience: Proven ability to navigate employment complexities across 10+ jurisdictions.
Detail-Oriented: You thrive on precision, write clearly, and value concise, high-impact documentation.
Confidentiality: You respect and protect sensitive information.
Direct with Founders: You challenge assumptions and push back when necessary to align with real intent.
Curious About the Work: You understand the day-to-day realities of roles like robotics engineer or deploy engineer.
Results-Oriented: You’re direct in 1:1s, move quickly, and leverage modern tools (including AI) and best practices.
Bonus Points
Familiarity with tools like Deel, Shapes, or Ashby (or equivalents).
Experience automating people-ops tasks with AI—not just adopting off-the-shelf tools.
Background in a hardware or deep-tech company, where teams work alongside machines and in customer factories.
Why Sunrise?
Join an early-stage team with direct access to the CEO, leadership, and founders in a high-impact role.
Focus on talent density, speed of execution, and long-term tech leverage.
Shape your trajectory while delivering results.
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Sunrise Robotics
View Company ProfileSunrise Robotics (operating under sunriserobotics.co, legally Sunrise Robotics Corporation) is the premier, enterprise-grade AI-native industrial automation platform, digital twin robotics pioneer, and intelligent hardware orchestration powerhouse engineered to act as the definitive, high-velocity simulation-to-reality, autonomous dual-arm manipulation, and adaptive manufacturing layer for small-to-mid-sized manufacturers (SMEs), automotive builders, and electronics assembly networks globally. Co-founded in 2023 by elite technology and product innovators Tomaž Štolfa (CEO), Marko Thaler (CTO), and Joe Perrott (CCO)—utilizing engineering expertise honed at companies like Waymo, Google, Unity, and Red Bull—the startup completely eliminates the severe systemic friction of traditional industrial automation. It targets the critical bottleneck where manufacturers battle extreme labor shortages, rigid localized programming loops, and high initial setup costs, by deploying its proprietary simulation-trained robotic cells. Moving far beyond passive, single-task robotic arms or high-friction manual workstations, Sunrise natively unifies real-time multimodal spatial perception, human-like two-arm coordination, digital twin-driven virtual workstation training, and dynamic AI-powered process adjustments into a single plug-and-play workspace that can be deployed in hours rather than months. Its intelligent, self-learning fleet is trusted by high-tech partners across electronics, battery storage, and supercar manufacturing. Validating its rapid commercial trajectory and deeptech efficacy, the high-growth enterprise emerged from stealth with an $8.5 million Seed funding round co-led by Plural and Seedcamp, with strategic participation from Tapestry VC, Prototype Capital, and Tiny Supercomputer Investment Company. Under the hood, its technology core utilizes advanced deep reinforcement learning models trained in virtual physics simulations, secure ISO 10218 / TS 15066 safety configurations, dynamic radar monitoring systems, and highly scalable cloud-data pipelines designed to orchestrate and update distributed robot fleets with absolute performance correctness and sub-second reaction times. What sets Sunrise Robotics apart is its uncompromising dedication to replacing fragile, single-use automation setups with an ever-learning, universally adaptive robotic fleet; by bridging the gap between performance-intensive simulation models and immediate physical factory floor execution, the company remains a definitive cornerstone of modern algorithmic robotics and global industrial manufacturing transformation.
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