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Location: Remote - Global Workplace: Remote Applications will be reviewed on a rolling basis. We encourage you to apply sooner rather than later! We’re hiring a Head for the EA Infrastructure Fund (EAIF). This is an opportunity to shape millions of dollars in grantmaking toward the organizations, research, and community-building efforts that strengthen effective altruism's foundations, while also overseeing an updated version of CEA's Community Building Grants (CBG) program. Few roles offer this much leverage over the trajectory of EA. Your work and decisions will directly shape what exists in the ecosystem and what doesn't, from the organizations that get built to the research that gets funded. You'll have significant autonomy to define the fund's strategic direction, grow its donor base, and build EAIF into an even more compelling vehicle for impact. This is a senior position on our EA Funds team, reporting to the Director of EA Funds. ABOUT CEA The Centre for Effective Altruism (CEA) stewards the movement of people putting effective altruism principles into practice to solve the world's most pressing problems. We’re working to build a flourishing future by applying evidence, reason, and compassion to challenges like global poverty, animal suffering, and existential risks. Our work centers on growing and supporting a global community of people who rigorously analyze where they can do the most good – and take action on those insights. Current strategic priorities include increasing understanding of effective altruism and its principles, growing the number of people who are motivated by EA principles to take significant action to address pressing problems, and diversifying funding sources for high-impact work. We had significant success in 2025, building momentum within CEA. Our headcount grew from 42 to 66 core staff. Program participation (e.g., events, courses, groups) grew https://forum.effectivealtruism.org/posts/NKrpEdg7wAgcoHNRG/cea-is-growing-again-25-more-people-engaged-with-our-1 by 20-25% year over year. We merged https://forum.effectivealtruism.org/posts/BLvTcMMEQGFYsh6Jw/ea-funds-and-cea-are-merging with EA Funds https://funds.effectivealtruism.org/ and are rapidly scaling up our capacity for grantmaking and associated fundraising. In 2026, we’re maintaining ambitious momentum https://forum.effectivealtruism.org/posts/Dy4iGHbAkKAQ4t2Dw/building-sustainable-momentum-progress-report-on-cea-s-2025 while building the foundations for a step-change in the wider EA ecosystem’s growth trajectory from 2027 onwards. ABOUT EA FUNDS AND EAIF EAIF is part of Effective Altruism Funds (EA Funds), which is the grantmaking arm of CEA. EA Funds directs financial resources to particularly cost-effective and impactful projects across four funds: the EA Infrastructure Fund, the Long-Term Future Fund, the Animal Welfare Fund, and the Global Health and Development Fund. It's a particularly exciting time to join EA Funds. The team's recent integration with CEA allows it to benefit from shared infrastructure and opens up significant opportunities for programmatic synergies. We've also seen the Animal Welfare Fund scale from ~$3M to $10M in a single year under full-time leadership, with tens of millions more expected, and we believe significant growth is also possible for EAIF with the right person at the helm. The EA Infrastructure Fund https://funds.effectivealtruism.org/funds/ea-community occupies an important position in the EA funding landscape. It is one of the very few funders dedicated to EA "meta" efforts: the work that multiplies the impact of direct work on the world's most pressing problems. Its scope spans the organizations, research, and initiatives that support the EA ecosystem as a whole: funding EA groups around the world, supporting efforts to communicate EA ideas to new audiences, backing research on cause prioritization, seeding effective giving platforms that move donations to high-impact charities, and more. While EAIF is not quite alone in supporting that ecosystem, the landscape for meta-EA funding remains far thinner than for cause-specific work — and there are important areas, such as communication about EA principles, cause prioritization research, or smaller or early-stage projects, that would likely not get supported without EAIF. You will shape and lead the strategy of this fund, and in doing so, play a significant role in whether the EA ecosystem lives up to its potential. ABOUT THE ROLE You will be responsible for high-quality grantmaking, strategic leadership of the fund, and fundraising. You will make grants yourself – including actively sourcing high-impact opportunities – while working to grow the fund's capacity over time. With EAIF's integration into CEA and this new leadership hire, we're looking to bring fresh strategic energy to the fund. As the fund’s leader, you'll have significant latitude to define what EAIF should focus on and how it can add the most value. The right candidate will be guided by EA principles, think rigorously about where EAIF's marginal dollar does the most good, and be willing to update that thinking over time. We are genuinely open to your perspective on questions like: - How should EAIF position itself relative to other funders supporting the EA ecosystem? - What types of grants and grantees should EAIF prioritize to best support the community's potential to do good? - How do we make EAIF a compelling product for donors, whether they're already excited about supporting EA infrastructure or just starting to see its value? COMMUNITY BUILDING GRANTS In addition to leading EAIF, you will also lead an updated version of CEA's Community Building Grants (CBG) program, primarily focused on its grantmaking role https://forum.effectivealtruism.org/posts/i5RED3rv2h74pw6vp/transitioning-the-community-building-grants-program. This program will continue to provide funding to professionalized local and national EA communities around the world. It is a distinct program with its own funding sources and grantmaking process, but its mission is closely aligned with EAIF's scope. We see the combination of these responsibilities as a natural fit and an opportunity to take a more integrated view of how funding supports the EA community ecosystem. CONTRIBUTING TO EA FUNDS' BROADER STRATEGY As a senior member of the EA Funds team, you'll also contribute to the overall strategic direction of EA Funds more broadly — sharing insights from EAIF's work, collaborating with other fund leads, and helping strengthen the platform as a whole. These goals will be supported by other teams at CEA. CEA's Marketing and Communications team will partner with EA Funds to highlight the work of grantees, and we plan to hire fundraising staff to facilitate donations to EA Funds. KEY RESPONSIBILITIES GRANTMAKING - Investigate and evaluate grant opportunities rigorously, assessing theories of change, team strength, expected impact, and other relevant factors - Actively source high-quality applications and grantmaking opportunities, including, where appropriate, encouraging promising individuals to pursue projects EAIF could fund - Communicate your grantmaking reasoning transparently through grant reports, feedback to applicants, and public writing - Contribute to improvements in the grantmaking processes of EA Funds STRATEGIC LEADERSHIP - Develop a compelling strategy for EAIF's focus areas, grant types, and role in the funding ecosystem - Oversee an updated version of CEA’s Community Building Grants program, ensuring it effectively funds strong EA community builders worldwide - Represent EAIF and the Community Building Grants program (and occasionally EA Funds as a whole) within the EA community and to external stakeholders - Contribute to EA Funds' broader strategic direction as a senior team member FUNDRAISING - Grow EAIF's donor base in collaboration with other CEA teams (e.g. EA Funds leadership, incoming fundraising staff, and the Marketing and Communications team) - Build and cultivate relationships with potential donors - Communicate EAIF's impact and strategy in ways that are honest and compelling ECOSYSTEM DEVELOPMENT - Develop strategic partnerships with other aligned funders and organizations - Collaborate with grantees and groups of grantees to help them succeed and maximize their impact - Contribute to the broader EA community's thinking on funding priorities and strategic questions TEAM BUILDING - Hire and manage additional staff to support grantmaking efforts as the fund grows WHAT WE'RE LOOKING FOR At a minimum, we want a candidate who has: - Genuine commitment to EA principles: commitment to careful reasoning about impact, willingness to change your mind based on strong reasoning and evidence, and concern for doing the most good. We're looking for someone who leads with principles rather than fixed conclusions about which interventions or focus areas matter most. - Familiarity with the EA community: understanding of its key organizations, debates, and dynamics, and well-reasoned views on how to best support it. - An entrepreneurial mindset: the drive to shape a fund's strategic direction, build something ambitious, and adapt as the landscape evolves. - Strong social and communication skills: the ability to professionally represent EAIF, EA Funds, and CEA, build networks, and navigate a wide range of conversations with grantees, donors, and community members. In addition, it will be valuable if you have: - Strong strategic thinking and planning abilities - Strong written communication skills, with the ability to explain complex reasoning clearly and build trust with diverse stakeholders - Strong people and project management skills - Experience in grantmaking, philanthropic leadership, or related fields - A track record of building and scaling products or programs - Experience managing multi-million dollar budgets - A track record of leading fundraising efforts We recognize we may be unlikely to find someone who fits all of these criteria, and we encourage you to apply even if you aren't sure you're fully qualified. OTHER INFORMATION - This is a full-time, remote position. We prefer applicants who are able to work in time zones between US Pacific Time and CET. - We have an office in Oxford, UK, that you would have access to. - Start date: We'd ideally have you start as soon as possible, but would consider a later start for the right candidate. - Reports to: Loic Watine, Director of EA Funds - Compensation - US: For this role, we offer a base salary of $203,433 and a 10% unconditional 401k contribution. - For candidates outside the US, base salary is converted from USD to your local currency using a fixed exchange rate. - Benefits include private health insurance, flexible work hours, a $6,000 annual professional development allowance, a $6,000 mental health support allowance, extended parental leave, ergonomic equipment, 25 days of paid vacation or country-specific time off entitlements, whichever is greater. - This role will involve travel. There are likely 4-6 trips annually to attend team retreats and other events, including several international trips. We are committed to fostering a culture of inclusion and encourage individuals with diverse backgrounds and experiences to apply. We especially encourage applications from self-identified women and people of colour who are excited about contributing to our mission. The Centre for Effective Altruism is an equal opportunity employer. If you need assistance or an accommodation due to a disability, or have any other questions about applying, please contact jobs@centreforeffectivealtruism.org. CEA participates in E-Verify for US employees. We are committed to protecting your data. See our privacy policy https://www.centreforeffectivealtruism.org/privacy for more information. EVALUATION PLAN We expect the interview process to include the following steps (subject to change): - Application - Test task 1 - Test task 2 - Initial interview - Final interview - 1–2 day work trial - Reference checks

Location: Remote - Sydney, Australia Workplace: Remote ABOUT US: Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: . ABOUT YOU: You are excited to join a growing team focused on demonstrating ownership of our clients’ experience from onboarding through renewal and expansion. You will work closely with members of the Customer Success team, Sales team, and other internal Constructor teams to support and grow your book of business. You are an advocate for your customer and work with internal teams to provide feedback to Product, create advocacy opportunities for Marketing, and visibility into use cases and customer health for the organization. You demonstrate a high degree of accountability and ownership. RESPONSIBILITIES: - You are the strategic lead for the clients in your book of business. - You will build strong relationships with your clients in order to understand their business goals, business needs, the priorities of these goals and needs, and how Constructor maps to these goals and needs. - You will manage complex, enterprise renewal and upsell cycles from start to finish – effectively demonstrating the product and the business and economic benefits to each stakeholder (from business champion to the C-Suite level). - You will uncover and manage risk within your book of business in a timely and effective manner. - You will grow to be well versed on your clients’ business needs and the Constructor product in order to educate clients on potential new use cases, features and integrations that create added value and uncover potential upsell opportunities. - You will regularly update internal systems and attend internal meetings in order to document and communicate customer status, needs, risk, renewal next steps, and upsell next steps. REQUIREMENTS - 3+ years of Account Management experience within a SaaS company (ecommerce focus strongly preferred). - Proven success managing enterprise renewal and expansion cycles. - Track record of meeting or exceeding retention and growth targets. - Executive presence and ability to influence VP+ and C-level stakeholders. - Strong understanding of ecommerce KPIs (conversion rate, AOV, revenue, profit, merchandising metrics). - Ability to analyze and present data related to ecommerce performance, A/B testing, and conversion optimization. - Exceptional organizational skills and ability to manage multiple complex accounts simultaneously. - Experience leading cross-functional initiatives without direct authority.   A plus if you have: - Experience in Search & Browse technologies, Digital Analytics, or Digital Performance Management platforms. - Deep analytical fluency in ecommerce experimentation and performance data. - Previous experience working with Constructor or Constructor customers BENEFITS - 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - 💰 A competitive compensation package including stock options - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Parental leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: US - United States Scopely is looking for a Live Ops Manager to join our MARVEL Strike Force team in the US and Canada on a remote basis or Mexico City on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. MARVEL Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe. What You Will Do You will be the operational bridge between Live Ops strategy and high-quality in-game execution. You will gather requirements from the events and monetization teams, translate them into executable plans and configurable designs, and manage work across our Live Ops implementation partner. The role is accountable not only for accurate configuration, but also for ensuring that offers, events, milestones, and rewards remain complementary to the broader strategy and value proposition. Translate Strategy into Execution: Turn high-level designs for offers, events, milestones, rewards, and other Live Ops components into clear Jira tickets, configuration specifications, acceptance criteria, and implementation plans Manage the Implementation Partner: Prioritize, delegate, and track work across our Live Ops implementation partner, ensuring that owners, dependencies, timing, and escalation paths are clear Own Execution Readiness: Maintain a reliable view of upcoming launches, confirm that requirements and assets are complete, and drive issues to resolution before they create player-facing or business risk Provide Strategic and Value Quality Assurance: Review configured content for technical accuracy, player value, internal consistency, and alignment with the intended engagement and monetization strategy Coordinate Across Live Ops: Gather direction from events and monetization product managers, resolve conflicts across overlapping workstreams, and ensure that individual components reinforce the overall monthly plan Improve Operating Systems: Create and refine templates, checklists, documentation, and repeatable workflows that increase implementation speed, reduce errors, and make execution easier to scale Use Data to Inform Delivery: Use performance data and player segmentation to understand the intent behind requirements, validate implementation choices, and support post-launch reviews Accelerate Through Artificial Intelligence: Use artificial intelligence tools, including Codex and ChatGPT, to develop requirements, analyze data, create documentation, identify inconsistencies, and improve execution quality What We're Looking For 3+ years experience in live operations, product operations, production, product management, or a comparable execution-focused role in mobile or free-to-play games A high-ownership, hardworking operating style and a strong desire to grow a career in mobile game product management Exceptional organization, follow-through, and attention to detail across multiple concurrent deadlines and workstreams Experience translating ambiguous or high-level direction into precise tickets, requirements, and acceptance criteria; familiarity with Jira is strongly preferred The judgment to evaluate both configuration accuracy and whether an implementation supports the intended player and business outcomes Comfort managing external partners or distributed implementation teams through clear delegation, prioritization, feedback, and escalation Strong analytical skills and comfort using data to inform events and monetization requirements; Structured Query Language (SQL) proficiency is preferred Demonstrated comfort using artificial intelligence tools to accelerate analysis, documentation, quality assurance, and workflow improvement Clear written and verbal communication with product, economy, analytics, production, and implementation partners Bonus Points Hands-on experience with SQL, BigQuery, Looker, or comparable analytics tools Experience designing milestone systems, event rewards, or progression-based monetization in a role-playing game or Hero Collector A deep understanding of the Marvel intellectual property and its player community Please ensure that the résumé/CV you attach is written in English. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $91,300 — $140,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote (US); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You’ll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs. You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer’s needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams’ roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers. You will define the customer’s financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp’s technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features, and integrate them across all the touchpoints and surface area of a customer. This role is focused on Commercial customers, supporting high-growth companies with standardized financial workflows, core ERP integrations, and repeatable implementation patterns that drive fast time-to-value. WHAT YOU'LL DO - Act as a technical advisor to customers and Ramp’s internal teams while supporting high-value implementations and expansion opportunities by guiding integration, configuration, and system design - Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions; particularly involving ERP, HRIS, and API integrations - Collaborate with onboarding specialists and implementation leads to support technical workstreams (not run them), ensuring faster time-to-value and customer success - Work with customers to problem-solve technical hurdles and propose effective product implementations for each customer with a deep understanding of the full range of integration and configuration options - Participate in technical discovery to understand customer systems and workflows, and recommend best-fit Ramp architecture. This includes when and how to use Ramp’s API - Be a subject matter expert across our HRIS and Accounting integration partners, partnering with Sales, Product and partners to advocate for integration development in-line with customer needs - Troubleshoot integration blockers and guide customers through complex configuration decisions without writing code directly - Contribute to internal documentation and tooling that scales Ramp’s ability to support integration use cases across a growing customer base - Influence Ramp’s product roadmap by channeling customer pain points and feedback to the Product and Engineering teams WHAT YOU NEED - Bachelor's degree in computer science, engineering, finance, business, or a related field - 2+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment - Familiarity with ERP systems (e.g. NetSuite, Sage Intacct, Microsoft Dynamics, Oracle Fusion) and finance/accounting workflows - Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders - Strong communication skills: able to translate complex technical solutions into business value, guide customers toward scalable approaches, and diplomatically steer conversations when requests are misaligned with best practices or product capabilities - Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering - Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership - Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp’s upmarket motion BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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's Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development. Responsibilities: Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio You may be a good fit if you: Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors. Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences Strong candidates may also have some of the following: Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs) Background in transmission planning, interconnection study processes, or grid capacity analysis Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets 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: $405,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 for using AI in our application process.

Location: Remote Workplace: Remote ABOUT BUFFER We create social media and brand-building software for small businesses, creators, and individuals. Our mission is to provide essential tools to help small businesses get off the ground and grow. Through exceptional customer service and uplifting content, we help our customers believe they can succeed and do good along the way. Buffer is a fully distributed team, and we’ve always aimed to do things a little differently. Since the early days, we’ve focused on building one of the most unique and fulfilling workplaces by rethinking a lot of traditional practices. We also default to transparency, so you can read all about our metrics, and our successes and failures along the way on our Transparency Dashboard https://buffer.com/open. We're united by Buffer's values https://buffer.com/about#values, and we hire and work from all over the world. We strive to create a diverse and inclusive work environment, and we are building a culture where underrepresented groups are welcome and can flourish. Please note that we do travel to work together in person once or twice per year, and those events are highly encouraged to build deeper connections among our small team. As you get to know Buffer and consider joining the journey, you can learn more about Buffer on our Journey https://buffer.com/journey page. Still curious to learn more about the experience on the Buffer team? Feel free to read more from Kirsti https://buffer.com/resources/first-30-days-buffer/ and Sabreen https://buffer.com/resources/joined-3-days-before-the-retreat/ as they share their first experiences with Buffer, as well as from Hailley https://buffer.com/resources/8-years-at-buffer/, who captured why she still calls Buffer home after 8+ years. ABOUT THE ROLE You’ll lead engineering for Growth at Buffer across both product and marketing surfaces. The work spans acquisition, activation, and retention. You’ll connect how people discover Buffer and decide to sign up and whether they stay. We’re looking for someone who wants to stay close to the details, from where a customer gets stuck in a flow to the technical decisions that shape how it works. You’ll help the team decide which problems to solve, what to try first, and how to tell if we made things better for customers. You'll partner closely with Product, Design, Marketing and Data to shape technical direction, create space for engineers to do their best work, and build a culture of ownership and continuous improvement. WHAT YOU'LL DO - Support engineers through regular coaching, clear feedback, and meaningful career conversations. - Shape priorities with Product, Design, and Marketing, bringing your own point of view and grounding decisions in customer needs & data. - Stay close to technical decisions and product details. Help the team build clear, accessible, responsive experiences, and help judge when to keep refining and when to ship and learn. - Help connect customer insights, product changes, and measurement so we understand whether our work is helping. - We're also changing how we build with AI. You'll have room to help shape that, through your own experiments and by helping the team develop good judgment and systems to work with AI effectively. - Contribute to the wider Engineering team through hiring, shared practices, and improvements to how we work. WHAT WE'RE LOOKING FOR - You've managed engineers and can talk concretely about helping people grow, giving feedback, and addressing performance concerns. - You care about how software feels to use. You notice unnecessary steps, unclear interactions, and details that get in someone's way. You could walk through something you helped build and explain the choices, compromises, and things you left out. - You have a strong engineering background and remain comfortable getting into technical details. That might mean reviewing code, exploring an architecture, building a prototype, or helping someone work through a difficult trade-off. - You’re ambitious about what you can build with AI. You use it in your own engineering work to take on bigger problems, and you know how to steer it, check its work, and make the calls that need your judgment. You help the engineers you lead do the same. - You communicate clearly in writing, take ownership, and work well with people across different disciplines and time zones. - You understand how a product helps a business grow, from how customers find it to why they pay for it and keep using it. You might have learned that through growth work and experimentation, or by growing a product as a founder or on an early-stage team. You use that understanding to decide what’s worth building and help engineers build it well. - You have a personal connection to making and sharing things. Maybe you've written a newsletter, shared your work online, built a side project, or run a small business. You understand something of the effort it takes to put your work out there and find an audience. You don't need a big following; we're interested in that connection and what it's taught you. OUR HIRING PROCESS - Please express your interest below by sharing your LinkedIn profile and resume, and a short note about what interests you in the role and why you think it could be a good match. (If you choose to use AI while writing your message, please limit usage to light edits or research. We'd love to hear your own voice come through.) - If we'd like to explore the fit further, we'll reach out to learn more about you. - Our interview process includes a conversation with a member of our hiring team (Sara https://www.linkedin.com/in/sara-almeida-b1a78012b/ or Caro https://www.linkedin.com/in/carolynkopprasch/), meeting the hiring manager for this role (Kateryna https://www.linkedin.com/in/kporshnieva/), getting to know some teammates and peers (varies based on schedules), and meeting our CEO, Joel https://www.linkedin.com/in/joelgascoigne/. - Our final stage is a two-day-long paid collaboration period. This is designed to mimic a real work project, so that we can each see what it's like to work together. PRIVACY POLICY By submitting the application, you consent to Buffer collecting and processing your personal data for recruiting purposes. Find more details in our Privacy Policy https://buffer.notion.site/Privacy-Policy-for-Applicants-230a7f5a00fd80e48478f09171d18a24?pvs=143.

Location: Munich, Germany 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 building the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 for using AI in our application process.

Location: Remote US Nationwide Earn up to $95 per session helping California adults thrive! Overview Join our mission to make quality mental healthcare accessible to every adult who needs it. At Daybreak Health, you'll be part of a movement dedicated to removing barriers to care and empowering adults to thrive emotionally and mentally. We partner with Kaiser Permanente and other health plans, reaching adult clients throughout California who need consistent, high-quality mental health support. Our clinicians enjoy the stability of consistent referrals and a meaningful caseload, allowing you to focus on what matters most: making a real difference in your clients' lives. We're seeking compassionate, licensed mental health clinicians to provide teletherapy to adults ages 18-60 throughout California. In this role, you'll deliver high-quality, evidence-based care to help your clients thrive. Every session you lead has the power to change someone's trajectory, and that's just the beginning of the impact you'll make. Please note: This role is open to therapists who are fully licensed in California only; associate and provisionally licensed therapists are not eligible. 1099 Independent Contractor Our new tiered pay structure rewards clinicians who want to grow their caseload, with no cap on your earnings: 💵 $75–$90 per session, based on weekly caseload volume 📋 Paid intake assessments 🕒 Paid no-shows and late cancellations 🌐 $5 Bilingual session differential available for every session 🎓 $340 paid onboarding training stipend 📚 Free continuing education credits year-round and a dedicated intake assistant who supports with all initial scheduling and consent forms 🛡️ Malpractice insurance included 💳 Biweekly pay — Daybreak handles all billing 📈 Flexible caseload: Start with just 5 sessions per week, see as many clients as you'd like The more clients you see, the more you earn. A clinician seeing 20+ sessions per week can build a meaningful income stream without the administrative burden of running a private practice. Flexibility & Clinical Support Fully Remote: Work from anywhere in the U.S. Flexible Schedule: Set your hours anytime and day Monday–Sunday, 8am–8 PM PST, (weekends optional) Administrative Support: We handle billing, credentialing, and scheduling so you can focus on care Supportive Clinical Community: Peer consultation, collaborative networks, and team discussions Professional Development: Continuing education credits and ongoing training Role & Responsibilities Foster strong, supportive relationships with our clients to create a safe therapeutic environment Provide evidence-based individual teletherapy to adolescents and adults ages 11–60 experiencing mild-to-moderate mental health conditions Provide psychoeducation to parents/caregivers Qualifications Licensed Professional with LCSW, LPCC, LMFT, or LP credentials in the State of California Passion for youth mental health: Demonstrated commitment to providing culturally responsive, equitable care that honors diverse backgrounds and experiences Experience working with youth and adults ages 11-60 in clinical or school settings Comfortable with telehealth: Experience providing telehealth services Please note: This role is open to fully licensed California clinicians only; associate and provisionally licensed clinicians are not eligible. Our Commitment to Diversity Daybreak Health is an equal opportunity employer committed to building a diverse and inclusive workplace. We believe that diverse perspectives strengthen our mission to serve students from all backgrounds. We actively encourage applications from people of all races, ethnicities, religions, gender identities, sexual orientations, ages, abilities, and veteran status.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the NYC Metro region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $280,000 - $310,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Tysons; Greenville Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a profitable, high-growth Enterprise SaaS company operating at the intersection of AI and data privacy — arguably the hottest compliance market right now. Their patented Hybrid AI technology helps Fortune 100 enterprises stay ahead of GDPR, CCPA, and emerging global privacy regulations. With strong product-market fit, a loyal enterprise client base, and real revenue (not just hype), this is a company built to last — not chase the next funding round. THE MISSION Privacy is becoming the defining issue of the AI era, and our client is on the front lines — protecting individual rights and building trust between businesses and consumers. Every bug you catch and every test you run directly supports that mission at enterprise scale. THE OPPORTUNITY This is a rare shot at joining a stable, well-capitalized engineering team where QA is respected, not an afterthought. You'll work shoulder-to-shoulder with founders and senior engineers, in a culture built for people who want to grow deep roots — not just add a line to their resume. WHAT YOU'LL DO - Own manual QA testing for web applications end-to-end - Track, manage, and prioritize issues in Jira - Partner closely with a tight-knit, engineering-driven team - Directly influence product quality for privacy and security solutions used by Fortune 100 companies - Bring sharp feedback — your voice shapes how the team ships - Grow your craft in a fast-moving, financially stable company WHAT YOU BRING - 2+ years of hands-on manual QA experience with web applications - Bachelor's degree in a related field, or equivalent experience/certifications - Strong command of Jira for bug tracking and workflow management - Solid grasp of SDLC and testing methodologies - Working knowledge of HTML, CSS, and JavaScript - Fluent Russian is a strong plus - Ready to work hybrid, 3 days/week from Tysons, VA or Greenville, DE KEY SUCCESS DRIVERS - Obsessive attention to detail; quality isn't negotiable to you - High integrity, honesty, and transparency in how you work - Proactive, energetic, solutions-first mindset - Thrives on change and ambiguity in a fast-paced environment - Looking to build a long-term career, not just pass through WHY JOIN? - Base salary: $50,000–$70,000/year - 100% company-paid medical, dental, and vision - 401(k) plan - Company-paid life insurance - Relocation assistance available - Tuition reimbursement, performance bonuses, and company events - Genuinely tight, supportive, inclusive culture - True work-life balance: hybrid 3 days/week + paid vacation - Direct exposure to Fortune 100 clients and cutting-edge AI privacy tech - Long-term growth in a booming, future-proof industry INTERVIEWING PROCESS - HR Screening - Stage 1: 30-min phone interview with Founder/CEO (general fit) - Stage 2: On-site interview (skills assessment) - Reference and background checks - Job offer We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Majors Customer Success Manager, you’ll play a critical role in guiding our largest customers through their journey with Harvey and defining the future of work at elite law firms, Fortune 500 companies and premier asset managers. This position is pivotal in ensuring our customers not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes, providing expert industry advice and shaping Harvey’s product roadmap. Role Overview As a Majors Customer Success Manager, you’ll lead AI implementation, adoption and change management for Harvey’s largest customers, including leading law firms, Fortune 500 companies and asset managers. You’ll work directly with senior leaders and practicing lawyers to identify where AI can improve their work, turn those opportunities into implementation plans and lead the cross-functional effort to deliver results. You’ll own the customer relationship end to end as the primary lead for a portfolio of strategic accounts, from initial deployment through ongoing adoption and renewal. This role combines the strategic depth of advisory work with responsibility for account health, measurable customer value and retention. You’ll drive retention by establishing measurable value, understanding customer needs and addressing barriers to continued investment, partnering with Sales throughout the customer lifecycle. What You’ll Do - Lead implementation and transformation programs. Assess customer goals and current workflows, identify valuable use cases and build plans with clear milestones, owners and success measures. Drive execution across practice groups, business functions and regions, adapting the plan as you learn what works. - Drive change in how lawyers work. Partner with lawyers and customer leadership to embed Harvey into everyday practice. Develop champions, address resistance and coordinate targeted training with Legal Product Specialists. Help customers turn successful individual use cases into repeatable ways of working across teams. - Own your customer portfolio. Set account strategy and use adoption data, stakeholder feedback and business impact to assess progress and direct the next phase of work. Address risks early and lead the response to escalations, keeping customers informed and internal teams accountable for resolution. - Drive retention and support growth. Conduct ongoing discovery to understand customer goals, decision criteria and stakeholder sentiment. Build the case for renewal through demonstrated value, address retention risks early and equip Sales to lead renewal discussions. Identify expansion opportunities grounded in customer needs and business impact. - Lead cross-functional delivery. Bring together Legal Engineering, technical specialists, Product and Sales around a shared customer plan. Clarify responsibilities, manage dependencies and resolve blockers. Coordinate specialist contributions and ensure their work advances the broader account strategy. Translate customer needs and delivery lessons into product feedback and repeatable playbooks. - Advise executives and align stakeholders. Build relationships with senior partners, General Counsel and innovation, technology and operations leaders. Lead discussions about investment and progress, align stakeholders with competing goals and manage difficult conversations when expectations or results shift. Travel required: up to 25%. What You Have - Experienced background in asset management, banking or financial service management consulting, technology advisory, transformation delivery or strategic enterprise customer success, with direct responsibility for delivering complex client programs. Experience serving legal, financial services or professional services organizations is valuable. - A track record of turning business goals into executable plans and managing multiple work streams through delivery, with clear ownership of timelines, stakeholder alignment and results. - Experience helping organizations adopt new technology and change established ways of working. You understand that successful implementation requires both a working solution and people who use it. - The ability to earn credibility with senior executives and work directly with end users, moving comfortably between strategic discussions and hands-on execution. - Strong analytical and commercial judgment, with the ability to assess customer value, uncover renewal considerations and identify retention risks early. - A collaborative approach and the judgment to prioritize across a demanding customer portfolio. You take initiative, work effectively through ambiguity and bring curiosity about AI and its practical applications. What We Offer - Ownership of AI implementation and transformation programs with some of the world’s leading legal and business organizations. - The opportunity to build lasting customer relationships and see your work translate into measurable improvements over time. - Close collaboration with product and specialist teams, with direct input into how Harvey’s technology and customer delivery approach evolve. COMPENSATION RANGE - $180,000-$210,000 OTE with an 80/20 split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-BS1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Red Lion, PA Physical Therapist – Outpatient Ortho Red Lion, PA Build Your Outpatient Physical Therapy Career with us! At Drayer Physical Therapy Institute, part of the Upstream Rehabilitation network, you can focus on patient care while advancing your career in outpatient orthopedic physical therapy. We’re hiring full-time, part-time, and PRN Physical Therapists — including new grads — who want competitive pay, strong mentorship, and a clear path to professional growth that flexes with every stage of your career. Why Clinicians Choose Drayer Physical Therapy Competitive Physical Therapist compensation: $82,000 - $98,000 / year Achievable monthly clinical bonus program, over 90% of clinicians qualify Student loan repayment assistance – directly to the principle of your loan! 100% employer paid medical health insurance premium option available Dental and Vision insurance 401(k) with company match Generous PTO and paid holidays Structured onboarding for new-grad Physical Therapists and ongoing mentorship In-house Residency/Fellowship programs and robust CEU opportunities – with annual allowance! Path to clinic ownership / partnership for long-term growth Modern clinical technology that reduces documentation time so you can focus on patients Supportive team and leadership invested in your success What You’ll Do as a Physical Therapist Develop individualized, evidence-based care plans for your patients Deliver high-quality, outcomes-driven therapy Collaborate with peers in a fun, values-driven team environment Build lasting connections with patients and local providers Continue learning and growing through Upstream’s education and development programs Qualifications Graduate of an accredited Physical Therapy program (DPT or equivalent) Active Pennsylvania Physical Therapist license (or eligible) A Better Place to Build Your PT Career When you join Upstream Rehabilitation, you get the strength of a national network with the feel of a local clinic. Our central support teams handle the administrative work , so you can focus on what matters most — the patient in front of you. With a network of over 1,200 clinics coast-to-coast across 26 brand partners, we lead the industry in quality outcomes, leveraging data, technology, and innovation to reduce paperwork and give you more time for care. You’ll be part of a fantastic group of clinicians who shape our culture, create a positive work environment, and know how to have fun along the way. It’s easy to see why so many Physical Therapists choose to grow their careers with Upstream. Estimated pay ranges listed above are based on several factors including but not limited to your pay class, experience, background and geographic location of the clinic Benefits and eligibility are dependent on employment status and pay class (full-time, part-time, or PRN). Specific details will be provided during the hiring process. Follow @Lifeatupstream on Instagram , and check out our LinkedIn company page to learn more about what it’s like to be part of the #upstreamfamily. CLICK HERE TO LEARN EVEN MORE ABOUT UPSTREAM Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.

Location: San Francisco, CA | New York City, NY 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join Beneficial Deployments, focused on helping public health, global health and humanitarian organizations get real value from Claude. You'll be the technical lead for partners such as public health agencies and ministries of health, the institutes and NGOs that support them, and humanitarian organizations working in crisis settings. You'll help them find where Claude makes a real difference, from disease surveillance and outbreak response to health data, communications and program delivery, design solutions that fit their data, privacy and procurement rules, and turn early pilots into lasting deployments. What works for one partner becomes something the whole field can use. Responsibilities Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use cases with clear measures of success. Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications. Guide partners through security review, data governance and procurement, from national agencies to field operations. Run workshops, trainings and tabletop exercises that build AI fluency across partner teams. Build reusable assets (reference designs, connectors, prompt and eval templates) so one partner's work helps the next. Spot patterns across partners, bring field insight back to Product and Research, and help partners measure what changed. Travel to partner sites for workshops, technical deep dives and relationship building. You Might Be a Good Fit If You Have 3+ years in customer-facing technical roles such as solutions architecture, sales engineering, forward-deployed engineering or technical consulting. Experience working with public health agencies, ministries of health, global health or humanitarian organizations, or similarly complex public institutions, including how they buy, adopt, and govern technology. A track record of making technology stick inside slow-moving organizations with many stakeholders. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication across a broad audience. The ability to explain technical tradeoffs to epidemiologists, program leads, field teams and executives. Patience with long buying cycles, a knack for knowing how to make them go smoothly, and real care for public benefit. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. Bonus if you've worked on disease surveillance, outbreak response, health information systems or emergency operations. 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: $240,000 — $315,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 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 for using AI in our application process.

Location: Remote Workplace: Remote Head of Operations Tellos Tellos is rebuilding how autism care is delivered. We help BCBAs run independent, high-quality practices — without getting buried in operations. Families get care faster. Providers earn more and burn out less. We are growing fast. Demand is real. Operations is now the constraint. This role exists to remove that constraint. Your job is simple to describe and hard to execute: Make it easy for families to start therapy. Make it easy for providers to deliver therapy. Make it easy for Tellos to scale without breaking. You will own the operating system of the company — from first referral to first therapy hour — and turn a complex, human-heavy service into something fast, reliable, and repeatable. ⸻ What You’ll Own End-to-end service operations You own the full chain: Referral → intake → assessment → authorization → staffing → scheduling → therapy start. Where things slow down, break, or silently fail — you fix them permanently. You will design workflows for credentialing, authorizations, and RCM that can scale across states. You will create visibility into where revenue is created, delayed, or lost operationally. If kids wait too long for therapy, providers struggle to fill schedules, or hours don’t convert into revenue — you will treat that as a solvable system problem. You are both the stabilizer and the accelerator. ⸻ Build systems, not heroics Turn tribal knowledge into clear processes. Replace chat-driven execution with structured operating rhythms. Build SOPs that new hires can run without constant supervision. Your goal is not to be the person who saves the day. Your goal is to design a system where fewer days need saving. ⸻ Own the operational scorecard You will define and drive the metrics that actually determine company health: • Time-to-treatment • Provider utilization • Funnel conversion and drop-off • Authorization velocity • Cancellation and denial patterns You won’t just report numbers. You will explain why they move — and what we do next. ⸻ Drive cross-functional execution You will work daily with clinical, recruiting, product, finance, and growth. You will: • Make intake-to-treatment timelines predictable • Reduce churn caused by operational friction • Partner with Product to automate manual workflows • Design operating models that support expansion from a handful of states to nationwide scale If something is “everyone’s responsibility,” it becomes yours. ⸻ Shape product through operational reality Tellos is a software-enabled services platform. You will identify where software can replace coordination work, reduce rework, and improve data integrity. Product builds the tools. You ensure those tools actually work in real operations. ⸻ Build and lead the operations team You will lead intake, support, recruiting coordination, and operational program management. You will set the cadence, raise the bar, and develop future operators. We are not building task-doers. We are building owners. ⸻ What success looks like Within 3-6 months: • Families start therapy significantly faster • Providers feel supported instead of blocked • Leadership spends less time firefighting • Expansion into new states becomes operationally predictable • The company grows without proportional chaos ⸻ Who this role is for You may be a strong fit if you: • Have scaled complex service or marketplace operations • Are highly analytical but deeply execution-oriented • Can create clarity in ambiguous, fast-moving environments • Care about operational quality, not just strategy decks • Hold people accountable while building trust Healthcare or ABA experience helps. Operational judgment matters more. ⸻ Why Tellos Tellos is mission-driven, self-funded, profitable, and operator-led. You will work directly with the CEO and leadership team to shape how this company scales. This is not a maintenance role. It is a build-the-machine role. If you want to design the operating backbone of a category-defining healthcare company, this is that opportunity. We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Masters or PHD is required Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $25 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Tysons; Falls Church; Alexandria; Arlington; Herndon Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client helps some of the world’s largest brands control how they collect, share, and use data. Its enterprise platform connects privacy governance, consent management, and AI governance, giving organizations the controls they need to protect customer information and adopt AI responsibly. Customers include Hilton, Sephora, AT&T, Allianz, and CVS, with many relationships spanning more than five years. Recognized as a Leader in the Magic Quadrant, our client pairs product innovation with established enterprise adoption. The company is profitable and founder-led. Its Founder/CEO also serves as CTO: he built the original technology and personally secured major enterprise customers in the company’s first few months. You will work directly with a founder who understands the product, the buyer, and what it takes to win complex accounts. THE MISSION Give enterprises the ability to innovate with data and AI while respecting individual privacy and choice. Our client turns that mission into practical controls: connecting customer permissions, privacy obligations, and AI governance to how data moves through the business. THE OPPORTUNITY Lead an existing enterprise sales team and help turn a strong customer and product foundation into the next stage of revenue growth. As Head of Sales, you will manage approximately 2-3 AEs and 5-6 BDRs. You will own team execution, coach sellers, strengthen pipeline generation, and personally contribute to closing business. This role suits a leader who wants broader responsibility without losing touch with customers. You will work directly with the Founder/CEO on sales strategy and execution, with meaningful influence over hiring, team development, and how the business goes to market. WHAT YOU'LL DO - Lead the enterprise sales team against clear revenue, pipeline, and activity goals. - Coach AEs and BDRs through account planning, prospecting, discovery, deal reviews, and negotiations. - Generate and close your own opportunities while helping the team win strategic accounts. - Build a consistent outbound motion with clear targeting, relevant messaging, and disciplined follow-through. - Develop relationships with CISOs, CIOs, Chief Privacy Officers, compliance leaders, and other enterprise decision-makers. - Help buyers connect privacy, consent, and AI governance requirements to a clear business case. - Improve qualification, sales processes, CRM discipline, and forecast accuracy. - Partner with the Founder/CEO, product, and marketing teams on positioning, competitive strategy, and customer feedback. - Hire and onboard additional sellers as the organization grows. WHAT YOU BRING - 10+ years of B2B sales experience, including a strong enterprise SaaS track record. - Experience leading AEs and BDRs while remaining involved in prospecting and closing. - Consistent achievement against individual and team revenue targets. - Success selling to senior security, privacy, IT, or compliance buyers at private-sector enterprises. - Experience navigating complex buying groups, technical evaluations, negotiations, and procurement. - Strong outbound skills and the ability to coach others to build their own pipeline. - Experience in cybersecurity, data privacy, identity, GRC, or adjacent enterprise software is preferred. - A disciplined approach to qualification, forecasting, and performance management. - A bachelor’s degree or higher. - Ability to work from the office three days per week. Candidates willing to relocate are welcome. KEY SUCCESS DRIVERS - Lead from the front. You stay close to customers and help your team move deals forward. - Own the outcome. You identify problems early, make decisions, and follow through. - Combine ambition with discipline. You pursue meaningful growth through consistent execution. - Be direct and coachable. You welcome feedback, bring informed opinions, and work well with an involved founder. - Develop people. You set clear expectations, give useful feedback, and hold yourself to the same standard. - Exercise sound judgment. You know when to act independently and when to involve others. - Build for the long term. You care about customer trust, team quality, and sustainable results. WHY JOIN? - Competitive pay: $150K-200K base salary plus commissions (OTE 350-400K). - Benefits: 100% covered medical, vision, and dental for employees (50% for dependents); 401(k) match; learning & development stipend; relocation assistance is available. - A credible platform to sell: established enterprise customers and recognition as a Leader in the 2026 Magic Quadrant. - An expanding opportunity: help enterprises address privacy, consent, and AI governance through one connected platform. - Real leadership scope: take responsibility for an existing team, contribute directly to revenue, and shape the next phase of sales execution. - Direct founder access: work with a technically hands-on CEO who built the product and won early enterprise accounts. - A profitable business: build on long-standing customer relationships and an established operating foundation. - Recognition: President’s Club awards and recognition for strong performance. INTERVIEWING PROCESS (~2 WEEKS) - HR Screening - Phone intro call with the Founder/CEO - Take-home assignment - Presentation - Final On-site - References and background checks We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.