Engineering Manager, Admin & Governance

With millions of diners, 60,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most – their team, their guests, and their bottom line – while enabling diners to discover and book the perfect restaurant for every occasion.  Every employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture. About the job  As a Staff Technical Program Manager (TPM), you will orchestrate the planning, development, and execution of key technical projects. Your leadership will bridge product and engineering efforts, ensuring seamless roadmap alignment, milestone tracking, and risk management. You'll play a crucial role in advancing both engineering and business strategies through effective collaboration and visionary program management. Effective stakeholder management and critical thinking are paramount in this role, as is the ability to exercise sound judgment in complex scenarios. Your strategic oversight and ability to navigate through ambiguity will drive our engineering and business vertical strategies forward. Responsibilities: * Collaborate with product and engineering leaders to establish program plans and milestones, proactively managing risks and setting clear objectives. * Drive roadmap alignment across product areas, ensuring strategic goals are met through effective cross-functional coordination. * Lead transformation initiatives and develop strategic roadmaps, fostering a collaborative environment to achieve alignment. * Advocate for engineering excellence by supporting reliable software systems and improving productivity across teams. * Partner with Software Engineering, Platform Infrastructure, and other key functions to maintain high-quality standards. * Provide mentorship to junior TPMs, fostering their professional growth and enhancing overall program management capabilities. Minimum Requirements: * 8-10+ years of experience in software development program management across cross-functional projects. * 5+ years in a program management role. * Expertise in Agile methodologies and tools. * Demonstrated ability to navigate software engineering challenges. * Proven ability to work effectively with both technical and non-technical team members. * Experience coordinating release schedules and building sustainable processes. * Hands-on expertise in automation and scripting, enabling the creation and optimization of workflows to automate various processes efficiently. Preferred Qualifications: * Background in a growth-stage or tech company. * Skilled in decomposing products or features into technical components and dependencies. * Experience in software development with one or more general-purpose programming languages. * Familiarity with Jira and Confluence tools. Benefits and Perks * Work from (almost) anywhere for up to 20 days per year * Focus on mental health and well-being: * Company-paid therapy sessions through SpringHealth * Company-paid subscription to Headspace * Annual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!) * Paid parental leave * Generous paid vacation + time off for your birthday * Paid volunteer time * Focus on your career growth: * Development Dollars * Leadership development * Access to thousands of on-demand e-learnings * Travel Discounts * Employee Resource Groups * 20 days of paid time off * Private health and dental insurance * Life and Disability insurance * Free lunch 2 days per week * Convenient downtown SF office location close to the Embarcadero MUNI and BART stations.  * Building amenities, such as a gym & bike parking The best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week—giving employees the best of both worlds: in-person collaboration and flexibility. We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant. Work Environment & Flexibility At OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations. Inclusion We’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve—and fostering a culture where everyone feels welcome to be themselves. If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations. #LI-[SFO, Hybrid]

ABOUT ANTHROPIC Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. ABOUT THE ROLE Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We're looking for an experienced tech lead to join our Evals Infrastructure team, building the systems that let us measure what our models can actually do. Evaluation is how we know whether a model is safe to ship — you'd own the infrastructure that makes those measurements fast, reliable, and trustworthy at scale. In this role you'll work at the intersection of inference, research and infrastructure engineering: managing the large scale distributed systems that orchestrate evals for our frontier models, building and scaling the harnesses researchers use to design and run evals, making results reproducible and interpretable, and ensuring eval signal is available where decisions get made. Your work directly shapes what we build and what we don't. Responsibilities * Lead the team building the distributed systems that schedule, orchestrate, and execute evals for our frontier model training * Own eval throughput and cost: compute allocation across suites, queueing against constrained accelerator pools, caching and reuse of eval work * Build and scale the harnesses researchers use to define, run, and iterate on evals * Make eval results trustworthy — determinism, reproducibility, and honest uncertainty quantification on reported metrics * Ensure eval signal reaches the dashboards and reviews where launch decisions actually get made * Contribute directly as an engineer while managing and growing the team, prioritizing its work, and coaching your reports You may be a good fit if you * Have led technical projects end-to-end on large-scale distributed systems, and have 1+ years managing engineers (or tech-lead-with-reports experience) * Are strong in Python and Rust * Have built high-throughput, fault-tolerant systems on cloud or on-prem accelerator fleets * Care about measurement quality, not just pipeline uptime — you'd notice if a metric moved for the wrong reason * Communicate well with researchers and can translate research needs into infrastructure * Are deeply interested in the transformative effects of advanced AI and committed to safe development Strong candidates may have * Worked on LLM inference or training infrastructure * Experience with eval or benchmarking systems, especially agentic evals requiring sandboxed execution * Working statistical literacy — variance, confidence intervals, sample-size sufficiency for noisy metrics * Experience with observability and regression detection over time-series metrics Sample Projects * Rebuilding the eval orchestration layer to cut wall-clock time on the pre-train eval suite * Designing compute allocation and scheduling so eval suites fit inside a fixed fraction of a production run's chip-hours * Adding rigorous uncertainty estimates to top-line dashboard metrics so checkpoint-to-checkpoint comparisons are actually decision-grade * Building sandboxed execution infrastructure for agentic evals The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000—$850,000 USD LOGISTICS Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers [http://anthropic.com/careers] directly for confirmed position openings. HOW WE'RE DIFFERENT We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. COME WORK WITH US! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy [https://www.anthropic.com/candidate-ai-guidance] for using AI in our application process.