Distinguished Engineer

Ore Energy

THE ROLE At Ore Energy, we are on a mission to fundamentally expand the amount of energy society can reliably harness and use, helping move civilization toward a more abundant energy future. We are doing this by developing long-duration, utility-scale iron-air batteries that provide safe, low-cost, multi-day energy storage for electricity grids and data centers. We are expanding our industrialization capabilities and are looking for a highly motivated, bright Product & Process Quality Engineer to join our team in Amsterdam. In this role, you will be the bridge between design engineering, physical testing, and early manufacturing, ensuring our products and processes meet high standards of reliability and performance. We are not looking for a rigid corporate bureaucrat. We want a pragmatic, cost-conscious, and hands-on quality professional with solid foundational experience who is eager to learn and build clean, efficient quality systems from scratch. You understand that quality in a scale-up is about enabling safe, rapid hardware iterations, not slowing them down with unnecessary red tape. This role reports directly to the Chief Product Officer (CPO). KEY RESPONSIBILITIES * Lifecycle Quality Integration: Define and implement quality criteria from early prototype phases and design validation (DVT) through to production readiness. * Risk Management (FMEA): Facilitate and maintain cross-functional Design FMEA (DFMEA) and Process FMEA (PFMEA) sessions to identify and mitigate risks early. * Root-Cause Analysis: Lead structured failure investigations (using tools like 8D, Ishikawa, 5 Whys) on test deviations, prototype failures, and component non-conformities, driving effective corrective actions. * Control & Inspection Plans: Develop cost-effective inspection strategies, test control plans, component traceability frameworks, and clear quality-gate readiness criteria. * Statistical Analysis: Apply practical statistical quality tools (such as MSA, SPC, and capability studies) to evaluate prototype performance and process variations. * Supplier Quality Support: Review supplier inspection results, coordinate on component specifications, and resolve material deviations with external partners. * Continuous Improvement: Build simple, scalable internal quality processes that support fast-paced product development and continuous team learning. YOUR PROFILE * Experience: 3+ years of hands-on experience in product or process quality roles within a complex, physical hardware development or manufacturing environment. * Quality Toolkit: Solid foundational knowledge of DFMEA/PFMEA, control plans, risk management, and root-cause analysis methodologies. * Pragmatic & Cost-Conscious: A natural problem-solver who values lean, practical systems over heavy administration. You are highly motivated to keep operations nimble and cost-effective. * Hands-on Curiosity: Comfortable working directly alongside multidisciplinary engineers in laboratories, workshop floors, and testing areas. You are open to feedback and have a massive appetite to learn about battery electrochemistry and advanced hardware systems. * Analytical Mindset: Highly structured and detail-oriented. You easily distinguish between symptoms, correlations, and true root causes when analyzing technical datasets. * Industry Background: Experience in batteries, energy storage, automotive, aerospace, or advanced medical/hardware devices is highly valued. * Communication: Outstanding communication skills in English. You are confident in constructively challenging technical decisions when quality or reliability risks are identified.

Pinterest

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. About the role: We’re looking for a Distinguished Engineer to set the technical vision and lead foundational work across Homefeed, Search, and our emerging AI Assistant experiences at Pinterest. This role sits at the intersection of relevance, ranking, retrieval, and generative AI, and will shape how hundreds of millions of Pinners discover and act on inspiration every day. You will operate as a cross-cutting technical leader: defining long-term architecture, raising the bar on ML and systems excellence, and partnering closely with product and executive leadership to drive step‑function improvements in engagement, quality, and creator value. What you’ll do: * Define the long-term technical strategy and architecture for Homefeed, Search, and AI Assistant, including retrieval, ranking, personalization, and generative experiences. * Drive a multi‑year roadmap for unifying signals, features, and models across surfaces to deliver a coherent, high-quality discovery experience. * Lead the design and adoption of large-scale retrieval and ranking systems (e.g., multi-stage retrieval, representation learning, multi-objective optimization) that materially improve relevance and monetization. * Architect how LLMs and foundation models integrate with our core discovery stack (e.g., query understanding, intent modeling, content understanding, conversation orchestration, safety/guardrails). * Set technical direction for experimentation, measurement, and evaluation frameworks, including offline metrics, online experimentation, and causal inference for discovery and generative use cases. * Provide hands-on technical leadership on a small number of high-leverage projects: design critical components, review designs/PRs, de-risk complex launches, and mentor senior engineers and staff+ TLs. * Partner deeply with Product, Data Science, Research, and Design to frame the right problems, translate product bets into robust technical plans, and ensure we are solving for long-term platform health, not just short-term metrics. * Raise the bar for engineering excellence: reliability, performance, security/privacy, cost efficiency, and operational health of large-scale ML systems. * Represent Pinterest externally for these domains (e.g., talks, publications, partnerships) and help attract and grow top talent. * You will report into Pinterest’s Core Engineering leadership and work horizontally across multiple product and platform teams responsible for Homefeed, Search, and AI Assistant. * You will spend a meaningful portion of your time on hands-on technical work (design, reviews, prototyping) while also driving long-term strategy, standards, and alignment across organizations. * You will be measured on durable technical impact: system-level improvements, model and product outcomes, reduction in complexity and operational risk, and the growth of leaders and capabilities around you. What we’re looking for: * 15+ years of industry experience in large-scale systems and/or machine learning, with a track record of impact in search, recommendations, feeds, or conversational AI. * Proven experience as a Distinguished Engineer, Architect, or equivalent senior technical leader driving cross‑org technical strategy and execution. * Deep expertise in at least two of the following, and strong familiarity with the others: * Large-scale retrieval and ranking (e.g., learning-to-rank, multi-task and multi-objective optimization, bandits, RL for recommendations). * Representation learning (e.g., embeddings, multi-modal models, dense and sparse retrieval). * Search systems (indexing, query understanding, relevance tuning, latency/throughput optimization). * Large language models and generative AI (prompting, fine-tuning, RAG, agents, safety/guardrails, evaluation). * Demonstrated ability to define and drive multi-year architectural transformations at scale (e.g., re-architecting a core ranking stack, unifying feature platforms, evolving legacy systems to modern ML platforms). * Strong product intuition and experience partnering with PM/Design/Data Science on ambiguous, 0→1 and 1→N product bets. * Exceptional communication skills: able to crisply articulate strategy, tradeoffs, and technical direction to executives, peers, and broad engineering audiences. * Passion for mentoring and growing senior/staff engineers; history of building strong engineering cultures and communities of practice. * Bachelor’s degree in computer science, a related field or equivalent experience. Nice to have: * * Prior experience in consumer discovery products at global scale (e.g., feeds, search, recommendations, marketplaces, or assistants). * Experience building or integrating AI assistants or agentic workflows into consumer experiences.   Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.   In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * Some teams will need you to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.  While other teams will need you to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices, [SF, Palo Alto, Seattle].  #LI-REMOTE #LI-AG8 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $280,148—$576,774 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.   By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the Role We are looking for a Distinguished Engineer to pioneer and scale autonomous, agentic SDLC capabilities across GitLab. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company. In this role you will deeply immerse in GitLab's product and internal engineering workflows to identify classes of problems that can be wholly or largely addressed by AI agents, validate them through rigorous experimentation in production-adjacent environments, and codify patterns that can be productized for our millions of users. You will act as a bridge between Architecture, Product, Infrastructure, and Data and ML teams, ensuring that agentic capabilities deliver durable value internally first and then scale reliably and securely to our customers. Additionally, the level for this role will be determined through the interview process and may be scoped as either Distinguished Engineer or Fellow Engineer based on the depth and breadth of experience demonstrated. What You'll Do * Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC that aligns with GitLab's product strategy and Engineering job architecture. * Identify and prioritize non-linear productivity opportunities across the SDLC, from planning and coding to review, security, compliance, and operations, targeting 10x step changes rather than incremental gains. * Translate ambiguous problem spaces into concrete, iterable roadmaps in partnership with Product, AI and ML, and Architecture teams. * Lead hands-on experiments and prototypes to validate where agentic workflows can fully own or materially reshape engineering tasks, including autonomous MR authoring, test creation and triage, security remediation, release readiness, and incident response. * Design and implement reference architectures for agentic SDLC inside GitLab, including orchestration patterns, safety guardrails, observability, and human-in-the-loop controls. * Define evaluation frameworks using offline benchmarks and online experiments to measure correctness, latency, safety, cost, and productivity impact of agentic workflows. * Select and own a small set of high-impact internal use cases as pathfinders and drive them from concept through adoption to measurable productivity gains. * Work directly with engineering teams to embed agentic workflows into day-to-day development, ensuring they are trusted, observable, and resilient. * Define and track core productivity metrics such as cycle time, MTTR, and MR throughput, and link agentic interventions to real business outcomes. * Capture and codify reusable patterns, libraries, and playbooks that other teams can adopt with minimal friction. * Work with Product Management and Engineering leadership to convert proven internal patterns into product capabilities that can be safely and reliably offered to customers. * Ensure designs respect multi-tenant, compliance, and data governance requirements across GitLab.com and self-managed customers. * Serve as a point of escalation for complex technical and architectural decisions related to agentic workflows, AI safety, and large-scale systems integration. * Mentor Principal and Staff Engineers working on AI and agentic efforts, raising the overall bar for technical execution, experimentation rigor, and cross-team collaboration. * Write clear, opinionated design documents, architecture narratives, and decision records that help teams make aligned, high-quality decisions independently. * Represent GitLab in the broader ecosystem at conferences, standards groups, and open source communities on topics such as AI-assisted development, autonomous agents, and productivity measurement. * Partner with Security and Compliance to define guardrails, review processes, and monitoring for agentic features, ensuring responsible use of AI and protection of customer data. * Work with Reliability and SRE teams to ensure that agentic services are observable, debuggable, and resilient, and that failure modes degrade gracefully. What You'll Bring * 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role. * Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale. * Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions. * Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience. * Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems. * Demonstrated ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data and ML teams on complex, ambiguous technical challenges. * Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority. * Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills. * Familiarity with GitLab's DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $260,000—$418,000 USD HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.