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People Experience Manager
About Us:
micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.
Role Overview
We’re hiring a People Experience Coordinator to support day-to-day employee experience operations, with a primary focus on gifting and logistics. This role is execution-focused and detail-driven, ensuring people-related initiatives run smoothly and consistently across a global team.
Responsibilities
- Coordinate employee gifting (onboarding, milestones, recognition) from request to delivery.
- Manage vendors, orders, shipping details, and timelines across multiple countries.
- Track inventories, budgets, and delivery status with high accuracy.
- Support small, predefined employee experience initiatives as needed.
- Maintain clear records and documentation for all activities.
- Communicate clearly and concisely with internal stakeholders and external vendors.
- Identify and flag operational issues early; help keep workflows clean and predictable.
Qualifications
- Strong organizational skills and attention to detail.
- Comfortable handling logistics, repetitive tasks, and follow-through.
- Clear written communication; concise and professional.
- Able to work across time zones and international shipping constraints.
- Reliable, structured, and execution-oriented.
Nice to Have
- Prior experience in coordination, operations, admin, or similar support roles.
- Exposure to remote or globally distributed teams.
Lead Product Manager
Ready for a challenge?
Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.
Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role
2025 has been an exciting year at Just Eat Takeaway.com with the launch of our paid membership program JET+ (e.g. Just Eat+), and we are only just getting started. We are now accelerating our vision to become the most rewarding platform, that recognises the loyalty and behaviour of customers – where every order and key actions are rewarded, and Just Eat+ membership unlocks even more.
This will be a key product leadership role in crafting and evolving the product strategy and roadmap for a new loyalty program we will be launching to all our customers across the globe. You’ll work with multiple stakeholders and teams across the entire organisation, influencing across levels, and managing key initiatives end-to-end.
The Loyalty team sits within the Ventures pillar in Product & Tech, a pillar that is relentlessly efficient, highly collaborative, laser-focused and always tackling the company’s biggest strategic bets and opportunities to disrupt the future of this industry. You can hear more on this from Hassan, the Senior Director of Ventures in this podcast episode.
These are some of the key components to the position:
- Product Vision & Strategy: Define, craft, and own the end-to-end product strategy and multi-year roadmap for the new loyalty program, ensuring it is highly scalable, directly fueling our vision to be the most rewarding platform.
- Drive End-to-End Execution: Lead the entire product lifecycle from deep discovery and ideation through iterative design, flawless go-to-market execution, and continuous optimization across multiple operating markets.
- Influence Senior Leadership: Act as the product evangelist, effectively communicating the vision, strategy, and execution progress, influencing and aligning senior leadership (up to Executive Committee level) and critical cross-functional stakeholders.
- Champion Data-Driven Strategy & Impact: Champion a data-centric and user-centric approach, leveraging advanced analytics to understand customer needs, maximize positive network effects, and quantify the impact of all initiatives ensuring they deliver against key business KPIs.
- Cultivate Cross-Functional Alignment: Proactively engage, lead, and align with diverse global and local teams (e.g., across Product & Tech (Engineering, UX, Data Science), Marketing, Commercial) to ensure seamless loyalty feature development and integration across the platform.
- Ensure Technical Scalability: Partner closely with engineering leadership and peers to ensure the loyalty architecture is technically robust, built for efficiency, and highly scalable.
- Foster Experimentation & Optimization: Instill a culture of rapid experimentation and iterative learning across all loyalty feature launches to ensure continuous optimization of program acquisition, engagement, retention, and program performance.
What will you bring to the team?
- Strong collaboration and relationship-building skills, across all levels, with effective communication and influencing skills
- High levels of ownership and self-starter attitude, comfortable with autonomy, change and thriving in fast-paced environments.
- Experimentation, iteration and agility first mindset
- Ability to coach, develop and mentor other PMs in the team
- Experience within loyalty and customer engagement welcome, but not mandatory
- Comfortable with key collaboration and analytical tools – e.g. JIRA, Figma, Miro, Tableau
- Problem-Solving & adaptability – demonstrated ability to thrive in the ambiguous, proactively identify challenges, and pivot strategies as needed.
- Ability to partner effectively with engineering teams, understanding technical feasibility, driving scalable solutions, and make prioritisation decisions
Data Analyst I
Despite rapid advancements in generative AI, achieving high-quality generation remains a challenge. This is primarily due to the scarcity of high-quality training data and the lack of reliable and robust evaluation metrics that can effectively capture subtle details in model outputs, which can significantly impact user experience.
The team is dedicated to developing comprehensive data curation and evaluation solutions to enhance models across various quality dimensions. These include visual quality, prompt adherence, identity preservation, naturalness, and visual text generation, among others. Diverse approaches are employed, such as sourcing billions of images and identifying suitable ones through a combination of manual annotations and signals from machine learning models. Both manual and automated evaluation methods are utilized to pinpoint quality gaps and data requirements.
Responsibilities
- Manage data labeling workflows, including data enqueueing for labeling, UI for labeling, and extracting labels into datasets for the modeling team.
- Maintain large-scale, efficient, and reliable data processing pipelines (billions of images), including data sourcing, running machine learning models to understand content, and using large language models (LLMs) to clean data.
- Maintain the portfolio of datasets, ensuring governance of access, retention, and privacy compliance.
- Manually annotate training data based on modeling team requirements.
- Use LLMs and other models to annotate training data or evaluate generated content, then apply auditing to understand model performance.
- Collaborate with engineers to identify and summarize model gaps based on evaluations; utilize these findings to identify necessary data, then mine and prepare that data for subsequent model training iterations.
- Scale validated evaluation protocols with product development teams, including coordination and auditing.
- Audit and correct human-labeled data.
Qualifications
- Associate’s degree or equivalent training required in Computer Science, Electronic Engineering, Physics, Bioinformatics, or other STEM subjects.
- Basic knowledge of Python and SQL.
- Basic knowledge of computer vision and generative models.
- Basic knowledge of data ETL workflows and pipelines.
- Verbal and written communication skills, problem-solving skills, and interpersonal skills.
- Attention to detail and an aptitude for experimental investigations.
- Basic ability to work independently and manage one’s time.
- Experience using LLMs for data labeling-related work.
- Prior industrial experience in software development and testing and/or research experience in human-computer interaction is preferred.
- Previous experience working onsite with engineers is preferred.
Additional Requirements
- Must be onsite, working with engineers.
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
Project Manager
micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.
Role Overview:
We’re looking for a Project Manager who is highly organized, proactive, and eager to learn how world-class product and engineering teams operate. You’ll work closely with Product Managers, Engineers, Designers, and Ops teams to help plan, track, and deliver projects on time. This role is perfect for someone early in their career who wants hands-on exposure to real product development in a high-growth startup environment.
Key Responsibilities:
- Assist in planning and tracking projects across product and engineering teams.
- Break down requirements into tasks and help maintain sprint boards and backlogs.
- Follow up with team members to ensure deadlines and deliverables are met.
- Document project updates, decisions, and action items.
- Identify blockers early and escalate them with clarity.
- Coordinate meetings, stand-ups, and sprint rituals.
- Help ensure alignment between product, design, and engineering.
- Maintain project dashboards and reporting for leadership.
What We’re Looking For:
- Experience in project coordination, operations, or a related role.
- Strong organizational and time-management skills.
- Clear written and verbal communication in English.
- Ability to manage multiple tasks without losing attention to detail.
- Comfort working in fast-paced, ambiguous environments.
- A proactive mindset—you don’t wait to be told what’s broken.
- Understanding of both Agile and Waterfall project management methodologies.
- Experience working with tools like Jira, Linear, Notion, monday, or Slack.
Nice to Have:
- Prior experience in a product, engineering, or startup environment.
- Basic understanding of the software development lifecycle.
- Interest in AI, SaaS, or tech products.
