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Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Consumers across the globe need safe, transparent financing while merchants want to provide users with their preferred way to pay and convert more buyers. To help achieve this vision, we are hiring a Senior Product Manager for our 1:Many Growth team. Affirm's Distribution Partnerships program - internally called " 1:Many " - is one of the highest-leverage growth levers at the company. Instead of integrating merchant by merchant, we integrate once into a platform merchants already use, and every merchant on that platform becomes reachable through that single integration. This role is responsible for: Own and grow Affirm's partner portfolio - making it easier and more frictionless for merchants to onboard and offer Affirm as a payment method to their customers. This includes taking product ownership of Affirm's existing vertical software partnerships, and growing the broader portfolio of platform partners still being stood up. Partner Acceleration Strategy - building the durable capabilities that make every future partner integration faster to launch and easier to scale, rather than solving the same problem one partner at a time. As a Senior Product Manager, you will work closely with cross-functional teams including commercial, merchant risk, design, product analytics, and engineering to define, launch and grow integrations with platform partners. Effective stakeholder management and ability to successfully navigate organizational dynamics are a must for success. You should be outcomes-driven with a very high bias for action. What You'll Do Collaborate with cross-functional teams to define, launch, and grow integrations with payment and platform partners. Build durable, repeatable capabilities through a Partner Acceleration Strategy that makes future partner integrations faster to launch. Build relationships with platform partners to gather feedback and insights on product performance, and use it to drive merchant growth. Define and prioritize product features and requirements to improve the customer, partner, and merchant experience. Create and manage the product roadmap for the broader 1:Many growth team. Develop success metrics/OKRs to measure the effectiveness of these initiatives. Partner with commercial and product marketing teams to develop go-to-market strategies for new partner integrations and features. What We Look For 5+ years of product management experience Proven ability to multiple technical software products from kickoff to post-launch, driving meaningful business impact you can clearly articulate. Skilled in cross-functional collaboration — diving into technical details with engineers, iterating with designers in Figma, and analyzing funnel performance with data analysts. Strong organizational and communication skills to navigate complex dynamics and drive alignment. Execution-oriented with a proactive approach to overcoming obstacles and blockers. Adept at transforming incomplete or conflicting inputs into clear, actionable plans. Demonstrated track record of shipping high-quality products on time. Comfortable engaging in the commercial aspects of product development, including representing the product externally, setting expectations, and influencing outcomes that benefit both Affirm and its partners. Bonus points: Experience in Fintech, Lending, ecommerce, or BNPL. Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Consumers across the globe need safe, transparent financing while merchants want to provide users with their preferred way to pay and convert more buyers. To help achieve this vision, we are hiring a Senior Product Manager for our 1:Many Growth team. Affirm's Distribution Partnerships program - internally called " 1:Many " - is one of the highest-leverage growth levers at the company. Instead of integrating merchant by merchant, we integrate once into a platform merchants already use, and every merchant on that platform becomes reachable through that single integration. This role is responsible for: Own and grow Affirm's partner portfolio - making it easier and more frictionless for merchants to onboard and offer Affirm as a payment method to their customers. This includes taking product ownership of Affirm's existing vertical software partnerships, and growing the broader portfolio of platform partners still being stood up. Partner Acceleration Strategy - building the durable capabilities that make every future partner integration faster to launch and easier to scale, rather than solving the same problem one partner at a time. As a Senior Product Manager, you will work closely with cross-functional teams including commercial, merchant risk, design, product analytics, and engineering to define, launch and grow integrations with platform partners. Effective stakeholder management and ability to successfully navigate organizational dynamics are a must for success. You should be outcomes-driven with a very high bias for action. What You'll Do Collaborate with cross-functional teams to define, launch, and grow integrations with payment and platform partners. Build durable, repeatable capabilities through a Partner Acceleration Strategy that makes future partner integrations faster to launch. Build relationships with platform partners to gather feedback and insights on product performance, and use it to drive merchant growth. Define and prioritize product features and requirements to improve the customer, partner, and merchant experience. Create and manage the product roadmap for the broader 1:Many growth team. Develop success metrics/OKRs to measure the effectiveness of these initiatives. Partner with commercial and product marketing teams to develop go-to-market strategies for new partner integrations and features. What We Look For 5+ years of product management experience Proven ability to multiple technical software products from kickoff to post-launch, driving meaningful business impact you can clearly articulate. Skilled in cross-functional collaboration — diving into technical details with engineers, iterating with designers in Figma, and analyzing funnel performance with data analysts. Strong organizational and communication skills to navigate complex dynamics and drive alignment. Execution-oriented with a proactive approach to overcoming obstacles and blockers. Adept at transforming incomplete or conflicting inputs into clear, actionable plans. Demonstrated track record of shipping high-quality products on time. Comfortable engaging in the commercial aspects of product development, including representing the product externally, setting expectations, and influencing outcomes that benefit both Affirm and its partners. Bonus points: Experience in Fintech, Lending, ecommerce, or BNPL. Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $255,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: CAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West) Workplace: Hybrid ABOUT THE ROLE Millions of small businesses and their advisors use Xero reports and insights to decide what to do next. AI is changing how people understand their finances faster than any shift since the cloud, and Reporting & Insights is where Xero meets that change. Over the next few years we’re evolving reporting and insights for the agentic era, where customers ask an AI about their numbers as often as they open a Balance Sheet. As the senior technical leader for Reporting & Insights, you’ll set the multi-year technical direction, from the reports businesses file to the insights that tell them what to do next. You’ll also help hire the first Reporting & Insights engineers in Vancouver and decide how they work. THE TECHNICAL CHALLENGES Set a 3-year architecture across Reporting & Insights. Reporting and Xero Analytics run on a mix of modern services and systems that have grown with Xero over many years. You’ll define one target state across both, decide how they build on Xero’s data platform, and secure the investment to get there. You’ll design for high throughput, low latency and resilience, so reporting and insights scale with Xero’s largest and most complex customers. Evolve the platform without breaking trust. Accountants file tax returns from these numbers, so correctness comes first. You’ll lead the evolution of the data foundations behind about 150 reports, sequenced across teams and organisational boundaries. Customers keep the numbers they trust, on foundations built for what comes next. Make reporting and insights AI-native. AI changes what reporting and insights can be: answers to plain-language questions, insights that reach customers where they work, and analysis that once took an accountant hours. Every answer still has to reconcile to the ledger. You’ll define the foundations: how agents query financial data safely, how answers stay grounded and explainable, and how we prove correctness at scale. We want teams across Xero to build on what you create. IMPACT In your first six months you’ll own the Reporting & Insights architecture and set a direction for the data platform and the evolution of both products that engineering, Product and leadership back. At twelve months you will have: - Set a multi-year technical strategy for Reporting & Insights - Delivered new foundations for the first major report families, setting Reporting & Insights up for its next phase of growth - Opened Reporting & Insights to bigger businesses, with performance that scales to our largest customers - Put shared foundations for AI-native reporting and insights into production - Grown the Lead and Senior Engineers around you and raised the technical bar across the group Beyond year one, you’ll shape where Reporting & Insights goes next, and help steer Xero’s wider data and AI direction alongside the leadership team. OWNERSHIP You’re the senior technical voice for Reporting & Insights. You own the multi-year technical strategy and target architecture, and you make the calls that cross team and domain boundaries. You shape the roadmap with the GM and Product, decide where we invest in foundational capabilities, and align teams across regions behind one direction. You stay hands-on where it counts: reference implementations, foundational frameworks and the hardest architecture problems WHO YOU’LL WORK WITH You’ll report to the GM of Engineering. You’ll partner with the engineering managers and teams across Reporting & Insights, who know these products and their data in depth. You’ll shape the product and AI roadmap with the Reporting & Insights Product leads. You’ll also work with Principal Engineers and platform teams across Xero, including the accounting core and data platform teams that own systems we depend on. WHAT YOU BRING Must-have: - You’ve set technical strategy for a domain or portfolio over a 2 to 3 year horizon, and aligned multiple teams behind it. - You’ve led the evolution of a large, high-traffic, correctness-critical system across organisational boundaries. - You have depth in high-throughput, low-latency, resilient distributed systems and data-heavy architecture, and you still contribute hands-on where it matters. - You connect external shifts, AI above all, to product and architecture strategy, and you know where LLMs and agents belong in a system. - You grow leaders. You’ve mentored Lead and Senior Engineers into bigger roles, and your writing turns complex direction into decisions people act on. Nice to have: - Financial, reporting or analytics domain experience - LLM or agent-based features in production - .NET and AWS - A presence in the wider tech community through talks, writing or open source HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $227,700 - $284,600 CAD.   Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Data Analyst (LTV / Predictive Analytics) StellarTech is a B2C mobile publisher in EdTech: subscription apps, in-app monetization and performance marketing at scale. LTV prediction is how we decide where to invest, and the forecasting pipeline is already live. We are opening this role to have one senior analyst own its accuracy and its evolution. This is research and predictive analytics, not reporting: everything that can be standardised is already automated by Data Engineering, so the work is hypotheses, factor analysis and improvements to the prediction algorithm itself. You report to the Head of the Operational Department and work directly with Product, UA, Finance and Data Engineering. What you will do Own and develop the LTV prediction algorithm: find the parameters and factors that increase forecast accuracy, prototype improvements in SQL, measure the gain, then hand the logic over to Data Engineering. Validate forecasts on closed cohorts, monitor forecast quality over time and explain where exactly a model deviates from actual LTV. Research what moves LTV: product features, segments, purchase sources (for example, purchases coming through CRM vs other sources), and adapt the prediction logic to them. Run analytical research end to end, from a vague question to a documented recommendation for Product, UA and Finance: where payback improves, where to concentrate media buying, what changes unit economics at company level. Automate analytical routines and model quality monitoring together with Data Engineering. Requirements Critical 4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus: measuring the impact of factors on business metrics, not marketing attribution. Strong SQL: complex queries, window functions, optimisation. Here SQL is the main instrument for prototyping and testing the algorithm. Solid mathematical statistics and understanding of how ML models work: you can build and validate a forecast, judge model quality (MAE, RMSE, MAPE, R2), run factor analysis and explain where a model broke. Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, payback. Subscriptions are ideal; other in-app B2C models also work. Ad-only monetization is a different pattern and is not a fit. A proven end-to-end pattern: you take a vague question, form a hypothesis, dig into it and bring it to a recommendation. There is no micromanagement here and almost no standard tasks. Ability to back conclusions with data and to communicate them to both technical and business stakeholders. Non-critical Python (pandas, numpy, scikit-learn) for analysis and modelling: welcome, but not a blocker if the statistical and analytical thinking is there. A/B testing and statistical hypothesis testing. BI tools (Tableau, Looker, Power BI). Cloud DWH and large data volumes (Athena, BigQuery, Snowflake, Redshift or similar). Will be a plus Feature engineering and model interpretation (SHAP, feature importance). Mobile products, gaming or subscription businesses. Our stack: Amazon Athena, S3-based DWH, CatBoost, Tableau, Git, Jupyter. Why You'll Love Working With Us Impactful Work: Your contributions will directly shape the future of our company. Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. AI solutions Wealth: We offer a competitive salary. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Hiring process Intro call with the recruiter. Technical interview: SQL, statistics and ML fundamentals, plus an analytical case on how you build a plan to investigate a problem. Final interview with the department head. Optionally, a 30-minute culture fit conversation with HRBP. If this is the kind of work you want to own, send us your CV. We will come back to you with the next step.

Location: Ukraine; Poland; Romania; Spain; Portugal; Germany About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for an Engineering Manager to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of millions of companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Data Collection Technology is a core technology domain responsible for ingesting, processing, managing, and publishing data to the main platform. It combines a suite of battle-proven legacy data collection tools with a modern data collection platform. The broader data management platform provides a unified environment for managing and validating data across both private and public markets. It brings together multiple tools and workflows, standardizes quality-assurance processes, and enables scalable automation for data operations. As an Engineering Manager in PitchBook’s DataTech team, you will be responsible for ensuring your teams execute well and deliver the outcomes they commit to. Your primary focus will be strengthening delivery capabilities and helping teams improve planning, execution and predictability. You will also ensure effective platform-wide operational processes, including customer support and incident management. People management and team development remain important responsibilities, with successful and sustainable delivery as the primary focus. Tech Stack: Java 21, Kubernetes/GitOps, Spring Boot, MFE Architecture, OpenAPI, PostgreSQL, Kafka, Redis Team setup: 2 teams Work Environment: ​​flexible As a qualified expert You will Own delivery and engineering outcomes for DataTech teams Be accountable for delivery, velocity, quality, reliability and scalability Ensure work is aligned with DataTech priorities, using effective visualization and reporting to understand delivery, identify problems and drive improvements Ensure strong SDLC execution and technical quality Ensure teams execute effectively across refinement, design, estimation, implementation, testing and deployment Identify execution gaps and work with SDE Leads to improve how delivery works Invest in improving a AI-enabled SDLC, including adoption and evolution of SDD frameworks and practices Plan and manage capacity Own short- and long-term capacity and capability planning Allocate people in line with DataTech priorities and delivery commitments Surface capacity and delivery risks and drive mitigation Own product quality, reliability and operations Be accountable for stability, reliability, performance and overall quality Ensure effective platform-wide customer support, incident management, observability and other operational processes Balance delivery with technical health and operational needs Lead and grow engineers and SDE Leads Manage engineers and SDE Leads through coaching, feedback, growth and performance management Build and evolve teams through hiring, onboarding and shaping the right skill mix Maintain healthy team dynamics and address people issues early Strengthen ways of working and collaboration Improve engineering practices where they help teams deliver more effectively Partner with Product, Data and other domains to align plans and manage dependencies Contribute to domain-level planning and cross-team collaboration We’re looking for you if you have Proven engineering leadership experience managing multiple software/data engineering teams Strong hands-on experience in software development, primarily with the Java stack Strong track record of delivery, including improving planning, prioritization and execution Ability to use delivery data, visualization and reporting to identify problems and drive improvements Strong people-management skills: coaching, performance management and team development Strong technical judgment and ability to work with engineering leads to improve delivery practices, including effective use of GenAI and SDD Clear communication and collaboration skills with technical and non-technical stakeholders Ownership mindset: accountable for delivery as well as long-term quality and maintainability Excellent written and verbal communication skills in English Bonus points Experience in DataTech-like domains (data ingestion, processing, curation). Familiarity with Stream-Aligned Teams / Team Topologies. Experience working with Architecture, Platform, SRE and other enabling teams. Experience improving observability, reliability and incident management for backend/data services. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Manager screening Tech Interview Architecture interview HRBP Interview TPM Interview Client Interview

Location: Kyiv, Ukraine Join our global team as a Regulatory Affairs Specialist in Ukraine. Regulatory Affairs Specialist is responsible for assigned projects and related tasks, applications and dossiers submissions, communication with clients and national authorities. Position is in Ukraine, Kyiv. All CV's must be submitted in English language for an assessment. Responsibilities: Prepare and maintain regulatory submissions, registrations, renewals, variations for medicinal products and medical devices, and notifications for food supplements Ensure compliance of products, labeling, packaging, and promotional materials with Ukrainian regulations Monitor regulatory changes and assess their impact on the product portfolio Liaise with regulatory authorities and external partners Support product launches, lifecycle management activities, and compliance initiatives Support pharmacovigilance activities, including the submission of safety-related documentation to regulatory authorities. Coordinate implementation of safety-related labeling updates and variations Collaborate with local and global PV teams on safety communications, regulatory commitments, and inspection readiness Maintain regulatory documentation and databases Vendors management Participate in audits Requirements University degree in Pharmacy, Life Science, Medicine, or a related field Fluent English, and Ukrainian languages 4-5 years experience in Regulatory Affairs with medicinal products, medical devices and food supplements Excellent knowledge in the field of registration of medicinal products, medical devices and food supplements according to national rules Time management skills Ability to solve problems and make decisions Benefits Professional growth and career opportunities International team and environment Personal accident and business trip insurance Additional health insurance Remote/home based Rewarding referral policy Team building, global meetings

Location: Sint Maarten, Netherlands Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. Join CXG, the global leader in customer experience, and work alongside iconic brand names. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years or older (21 years or older in the United States). Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: Dubai, United Arab Emirates We are looking for an experienced Cost Control Engineer to join our construction team in Dubai. The ideal candidate will have strong experience in construction project cost control , with hands-on responsibility for monitoring project budgets, expenditures, commitments, variations, forecasting, and overall cost performance. Construction company experience is mandatory. Candidates whose experience is limited to general accounting, finance, or non-construction cost control will not be considered. Hence, The ideal candidate will be someone who has worked directly within a construction project environment and understands how engineering, procurement, subcontracting, site progress, variations, and project expenditure affect overall project costs. Candidates with purely accounting or finance backgrounds without hands-on construction cost-control experience will not be considered. Key Responsibilities Monitor and control project costs from project commencement through completion. Prepare and maintain project budgets, cost plans, forecasts, and cost reports. Track actual project expenditure against approved budgets and identify variances. Monitor commitments, purchase orders, subcontractor costs, material costs, and site expenditures. Maintain project cost codes and ensure accurate allocation of project costs. Prepare monthly cost-control reports and provide analysis to project management. Monitor project progress against budget and forecast the expected final cost. Prepare and maintain Estimate at Completion (EAC) and cost-to-complete forecasts. Identify potential cost overruns and provide recommendations for corrective action. Monitor and assess the financial impact of project variations, claims, and change orders. Coordinate with Project Managers, Quantity Surveyors, Procurement, Finance, and Site Engineers regarding project costs. Review subcontractor and supplier commitments and ensure they are accurately reflected in project cost reports. Monitor accruals, invoices, commitments, and actual costs. Assist in project cash-flow forecasting and expenditure planning. Analyze cost trends and provide management with accurate financial information for decision-making. Ensure proper documentation and reporting of project costs in accordance with company procedures. Support project teams in maintaining cost efficiency and minimizing unnecessary expenditure. Requirements Bachelor's degree in Civil Engineering, Quantity Surveying, Construction Management, or a related engineering/construction discipline . Proven experience as a Cost Control Engineer / Project Cost Control Engineer within the construction industry. Mandatory: Previous experience working directly for a construction company. Strong understanding of construction project cost control and project financial management. Hands-on experience with project budgets, cost forecasting, commitments, variations, and cost reporting. Experience with EAC, ETC, actual vs. budget analysis, accruals, and cost-to-complete forecasting . Strong knowledge of construction project expenditures, subcontractor costs, procurement, and material costs. Ability to analyze cost variances and identify potential project cost overruns. Strong MS Excel skills and experience with relevant ERP/project management/cost-control software. Good understanding of construction contracts, BOQs, variations, subcontractor agreements, and project documentation. Strong analytical, numerical, and reporting skills. Excellent coordination and communication skills. Ability to work closely with project and site teams. Must be willing to work on-site in Dubai. UAE construction experience is highly preferred. Benefits What We Offer Opportunity to work with an established construction team. Competitive salary based on experience and qualifications. Employment visa and medical insurance. Career growth and professional development opportunities.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role We are seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape. In this role, you will serve as a technical anchor across the engineering and data organizations—architecting enterprise-scale AI platforms, setting technical strategy for high-impact AI/ML initiatives, and ensuring our AI products operate with top-tier reliability, security, and medical precision. The ideal candidate is a seasoned technical leader who excels at translating complex healthcare challenges into scalable platform solutions, building consensus across cross-functional leadership, and elevating the technical bar for the entire engineering organization. Lyra is for you if you Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Drive AI Platform Architecture: Design and execute the long-term roadmap for Lyra’s machine learning and generative AI platform, enabling fast, safe, and reliable deployment of frontier models across the company. Lead AI Infrastructure Vision: Architect end-to-end training, fine-tuning, and low-latency inference platforms, including centralized RAG architecture, vector databases, and enterprise evaluation/guardrail frameworks. Set Engineering Excellence Standards: Establish organizational standards for the full AI/ML SDLC—from dataset lineage and CI/CD pipelines to automated model evaluation, red-teaming, and production monitoring. Cross-Functional Technical Leadership: Partner closely with Product Management, Data Science, Security, and Clinical leaders to translate strategic clinical goals into foundational AI capability roadmaps. Mentor and Multiply Impact: Elevate the engineering culture by mentoring Senior ML Engineers, conducting high-leverage architectural reviews, and establishing engineering best practices across teams. Hands-On Leadership: Lead by example through technical prototypes, critical-path architecture, and strategic coding contributions. And of course, you will be coding! Qualifications 8+ years of experience deploying complex ML/AI solutions into mission-critical production environments, with a proven track record of technical leadership. Deep System & Software Engineering Expertise: Mastery of Python, RESTful API design, Protobuf, and microservices architecture. Production AI/ML Infrastructure Mastery: Deep expertise with Docker, Kubernetes, container orchestration, and real-time inference services. Modern Generative AI Architecture: Hands-on experience designing and deploying RAG pipelines, fine-tuning LLMs, managing vector databases, and building robust LLM evaluation/guardrail frameworks. Data Layer Systems: Expertise with relational databases, low-latency key-value stores, distributed queueing system architectures (e.g., Celery, Kafka), and data pipeline orchestration. Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers). Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines. Preferred Qualifications Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin. Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII). MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Staff ML Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We are looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the organization.  The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members. Lyra is for you if you: Thrive on working with brilliant teammates to solve complex, meaningful problems Are passionate about making a social impact and supporting people at their most challenging moments Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers Responsibilities Build tooling and services that power the machine learning and generative AI powered solutions in production Training and inference platform services The model evaluation metrics and testing framework Build services that expose machine learning and AI based products Deploy and manage various applications that power various components of the the AI/ML SDLC process And of course, you will be coding every day! Qualifications 6+ years of experience deploying ML/AI solutions in production environments Ability to write high-quality code in Python Experience building RESTful APIs Experience defining and using Protobuf messages Experience working with Docker and deploying applications to Kubernetes Experience with relational and low-latency databases Experience working with Celery A strong desire to work on ML/AI based products A desire to learn new technologies quickly A love of building systems from scratch A thoughtful approach to balancing quality and deadlines in fast-paced settings Excellent communication skills with a talent for building consensus and alignment Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward Preferred Qualifications Experience building RAG (retrieval-augmented generation) based solutions Experience setting up and maintaining vector databases Experience writing production code in Java/Kotlin Experience building solutions on cloud infrastructure, particularly AWS Experience working with highly sensitive data in a healthcare environment "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. ML Engineer (MLOps), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to $197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  Lyra is transforming mental health care by creating a frictionless experience for members, providers, and employers. We connect companies and their employees to mental health providers, therapy, and coaching programs that work. We are looking for a self-driven, technical Data Scientist who cares about impact, ownership and innovation. In this role, you will work closely with Lyra’s Data, Product, Engineering, and Clinical teams on AI/ML initiatives that will enhance the experience of mental health patients and providers.  This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters.  Please note that remote-based candidates must be physically located within the United States. Responsibilities Work closely with Lyra’s Data, Product, Engineering, and other associated teams to enhance the Lyra platform to serve the needs of our providers and clients. Become an expert in the diverse data sources we collect and partner with data engineers to build pipelines that apply clinical logic to raw data Extract actionable insights, develop predictive and generative models, and implement rigorous evaluation frameworks to support product iterations Complete time-sensitive ad hoc data requests for internal and external stakeholders Qualifications 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics in the AI/ML space and have partnered with engineering and product teams in prior roles. Experience collaborating with cross-functional stakeholders across technical, business, and (ideally) clinical domains Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).  Experience applying hypothesis testing in an industry or research setting. Experience developing comprehensive analyses using irregular data from disparate sources.  Willing to do whatever it takes to clean messy data prior to deriving insights. Strong SQL proficiency.  Experience writing complex queries with multiple schemas and tables.  Preference for candidates who have experience creating views. Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences). Preferred Qualifications Interest in public health a plus Experience with AI/ML R&D, e.g. prompt engineering and RAG Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. Data Scientist - AI Research, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $128,000 to $197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: New York, United States Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About the Role We are seeking an experienced and visionary Staff Product Designer to serve as Flex's highest-caliber individual design contributor. In this role, you will set the bar for craft and quality across our entire product portfolio - not by managing designers, but by doing the work at a level others aspire to. You will drive design vision and strategy for the most complex, highest-impact initiatives at Flex, shaping how we build for our users and how the design function operates. Vision and Strategy Define and articulate design vision for Flex's most critical and complex product initiatives, ensuring work aligns with business goals and resonates deeply with our users Establish a north star for the consumer experience and drive cross-functional alignment around it Influence product strategy and roadmap directly through the quality and clarity of your design work and perspective Stay close to how the design industry and UX trends are evolving and bring those insights into Flex Quality and Craft Own the design process end-to-end on flagship initiatives, from research and ideation through refinement, prototyping, and final execution Hold a high bar for craft across everything you touch, from individual interaction patterns to our design system Build detailed prototypes that illuminate the future of the product and help teams make better decisions Use AI across the design lifecycle for, rapid exploration, prototyping, and front-end workflows, and model how the team can do the same Influence and Collaboration Partner with design leadership, product, and engineering to shape the direction of complex, cross-cutting product areas Collaborate with other designers to ensure alignment and consistency across the consumer experience Advocate for design thinking and user-centered principles across the company at every level, up to and including executive leadership Standards and Mentorship Establish and evolve design standards, processes, and patterns that raise the quality floor for the entire organization Provide mentorship and craft feedback to designers across the team Contribute foundational elements and set the standard for how the design system should evolve Key Qualifications Experience: A demonstrated track record as a senior IC contributor on complex consumer products Design Mastery: Deep expertise in UX/UI design with strong experience showcasing shipped work at significant scope and quality Strategic Thinking: Ability and demonstrated experience to operate at the product strategy level, shaping direction through design Craft: Exceptional execution skills with high attention to detail in interaction design, visual design, and prototyping Collaboration: Excellent communication skills; able to work fluidly with cross-functional teams including product, engineering, marketing, and executive leadership Tools and Tech: Proficiency in modern design tooling; and fluency with front-end development AI Fluency: Comfort using AI tools across the design process for research, exploration, prototyping, and workflow improvement Passion: Genuine interest in financial products and improving people's financial lives Compensation This is a contract position with an hourly rate of $125–$200 per hour , commensurate with experience and our internal leveling guidelines. Flex takes a market-based approach to pay and utilizes a geographic pay differential based on a cost of labor index; if you are located outside of our Tier 1 (NYC/Bay Area) markets, your rate will be adjusted to align with the market conditions of your specific geographic zone. There is potential for this engagement to convert to a full-time role, in which case compensation would be aligned to the full-time salary range and benefits for the level. Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: Canada What The Role Is As a Staff Engineer at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next. What You'll Own A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build. In practice, you: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Make the architecture calls that span teams and the ones that are expensive to reverse. Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones. A few problems people at this level are working on right now: Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it. Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt. Building Early Investor, our new family finance product, from scratch, on a deadline that can't move. Who You Are You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other. A few things that tend to be true of people who thrive here: You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. You're curious: you spot problems before they're filed and push your own ideas until they ship. 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 an RRSP 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 RRSP 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: Milwaukee, WI Document Controls Engineer Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Drive Information Management for World-Class Mission-Critical Projects The successful delivery of hyperscale data centers and mission-critical infrastructure depends on more than construction execution. It requires disciplined document control, accurate information management, and seamless collaboration between owners, engineers, subcontractors, vendors, and project teams. From design development and procurement through construction, commissioning, and turnover, effective information management ensures project teams are working from accurate data, approved documents, current drawings, and complete project records throughout every phase of project delivery. As a Document Controls Engineer , you will play a critical role in maintaining the information systems, document workflows, and project records that support successful project execution across some of North America's largest and most complex hyperscale data center developments. About Michels Infrastructure Solutions Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a Super General Contractor (Super GC) model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution. By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost. MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects. Position Overview As a Document Controls Engineer , you will be responsible for managing project documentation, workflows, and information systems supporting large-scale hyperscale data center and mission-critical infrastructure projects. You will ensure project records are organized, accurate, accessible, and maintained in accordance with contractual requirements, quality standards, customer requirements, and project procedures. During the early phases of project development, you will support document and information management activities associated with site development, utility coordination, permitting, procurement, construction planning, and engineering design packages. As projects advance, you will help manage the flow of information supporting construction execution, quality programs, commissioning activities, and project turnover requirements. This role serves as a critical link between project management, engineering, procurement, quality, commissioning, field operations, customers, and subcontractors. You will help establish and maintain the digital infrastructure that enables project teams to collaborate effectively across multiple disciplines and organizations. Success requires strong organizational capabilities, attention to detail, technical proficiency, and the ability to manage multiple priorities in a fast-paced project environment. Key Responsibilities Manage project document-control systems, procedures, workflows, and reporting processes. Coordinate the review, distribution, tracking, and retention of project documentation throughout the project lifecycle. Maintain engineering drawings, specifications, RFIs, submittals, transmittals, correspondence, meeting minutes, and project records. Maintain drawing-control processes across civil, utility, structural, telecommunications, power, and commissioning disciplines. Ensure project teams are utilizing current approved revisions and controlled documentation. Manage document workflows across owners, engineers, subcontractors, vendors, and internal project teams. Support project teams by ensuring timely access to accurate and current project information. Monitor document workflows to ensure compliance with project requirements, quality standards, and customer expectations. Assist with implementation and administration of project information-management systems. Support development of turnover-documentation strategies and project-record requirements from project inception through closeout. Support commissioning, turnover, and closeout activities through the organization and delivery of project documentation packages. What You'll Do Manage document-control activities supporting hyperscale data center and mission-critical infrastructure projects. Coordinate document workflows between project management, engineering, procurement, quality, commissioning, owners, subcontractors, and vendors. Track RFIs, submittals, drawings, specifications, change documentation, procurement records, and project correspondence. Track drawing revisions and ensure field teams have access to current approved documents. Maintain revision control and ensure project teams are working from current and approved project records. Support management of utility-coordination records, permitting documentation, engineering deliverables, procurement documentation, and construction records. Ensure project records are maintained in accordance with contractual requirements, company standards, and customer expectations. Support project-reporting activities and develop documentation status reports, logs, dashboards, and metrics. Coordinate document workflows associated with quality programs, commissioning activities, turnover requirements, and customer deliverables. Assist with commissioning documentation, turnover packages, O&M manuals, as-built documentation, asset information, and project-closeout deliverables. Support audit-readiness activities related to project documentation, records management, and contractual compliance requirements. Monitor document-control KPIs, workflow performance metrics, and information-management processes. Assist with development of project turnover packages, digital-record systems, and customer handover requirements. Support implementation and continuous improvement of document-management processes, workflows, and systems. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach. We provide exposure to every phase of project delivery, from planning, permitting, procurement, and construction through commissioning and turnover. We provide opportunities to support the information-management systems that drive successful project execution across multidisciplinary infrastructure programs. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. We offer opportunities for long-term career growth in project controls, engineering, operations, information management, and leadership. Comprehensive Benefits Package Health Insurance Dental Insurance Life Insurance Flexible Spending Accounts (FSA) Health Savings Account (HSA) Short-Term Disability Insurance Long-Term Disability Insurance 401(k) Retirement Plan Legal Plan Identity Theft Protection and Monitoring Plan Benefits may vary based on position and location. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You enjoy creating structure, organization, and consistency in complex environments. You have a keen eye for detail and take pride in maintaining accurate information. You enjoy supporting project teams by creating systems that improve visibility, accountability, and execution. You thrive in environments where multiple stakeholders depend on timely, accurate information. You are motivated by ownership, accountability, and continuous improvement. You want your efforts noticed and your contributions to make a meaningful impact. What It Takes Bachelor's degree in Construction Management, Engineering, Project Controls, Business Administration, Information Management, or a related discipline and 3+ years of document control, project controls, engineering, construction administration, or related experience , or an equivalent combination of education and experience. Experience supporting large-scale civil, utility, mission-critical, data center, industrial, EPC, power, or infrastructure construction projects preferred. Experience managing engineering drawings, specifications, RFIs, submittals, transmittals, meeting minutes, contract documents, turnover documentation, and project records. Understanding of project execution processes, engineering workflows, procurement activities, construction operations, commissioning requirements, and project-closeout procedures. Experience maintaining document-control systems and records-management processes throughout the project lifecycle. Experience managing engineering deliverables, drawing revisions, RFIs, submittals, turnover documentation, commissioning records, or project-record systems within complex project environments. Understanding of document workflows associated with design, procurement, construction, quality, commissioning, and project closeout. Experience supporting digital project-delivery and information-management systems preferred. Proficiency with Microsoft Office Suite and document-management platforms such as Autodesk Construction Cloud, Procore, Aconex, SharePoint, Unifier, InEight, Prolog, or similar systems. Ability to organize large volumes of documentation while maintaining accuracy and meeting deadlines. Strong analytical, organizational, communication, and problem-solving skills. Ability to work effectively with project teams, customers, subcontractors, vendors, commissioning personnel, and engineering partners. Experience supporting commissioning documentation, turnover packages, asset documentation, and as-built record development is preferred. Valid driver's license with an acceptable driving record. Ability to support long-term, site-based project assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily project-based, with significant collaboration occurring directly from active project sites. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: San Francisco, CA | New York City, NY | Seattle, WA 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: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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 — $380,000 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: San Francisco, CA | New York City, NY | Seattle, WA 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. At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought. We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must! Responsibilities: Design, build, and maintain scalable features and infrastructure for AI-powered development tools Engage directly with developers inside and outside Anthropic to gather insights and improve user experience Collaborate with researchers to improve model capabilities through shared tools and evals Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments. You may be a good fit if you: Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity Spend a lot of time refining and customizing your AI workflows Have experience building and maintaining dev tools Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture Specialize in user experience engineering but are a capable full stack developer Have hands-on experience working with large language models and prompt engineering Have worked on projects with stringent safety, security and/or compliance requirements Care about the societal impacts and ethics of your work Have 6+ years of work experience Strong candidates may also have experience with: Building and maintaining CLI tools Working in large codebases and quickly jumping in to unfamiliar development environments Working with container orchestration and cloud infrastructure Scaling TypeScript projects Working with alternate JavaScript runtimes like Bun and Deno 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: $320,000 — $625,000 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 - US West About the Job: As a Strategic Account Executive, you will own the relationship with the most strategic customers in your territory. You will play a significant role in the expansion of growth within these accounts. You should be business oriented, customer focused, and a self-starter who works well with little supervision. Responsibilities: Ownership of Strategic Accounts: You will be the primary point of contact and relationship owner for several strategic accounts at LaunchDarkly (~8 total) Territory and Account Planning: Develop comprehensive territory and account plans, proactively drive outbound pipeline generation independently, and collaborate effectively with Business Development Representatives. Ensure Successful Adoption: Ensure the seamless adoption of LaunchDarkly within these large enterprises through robust account management. Coordinate closely with pre-and-post sales engineering, customer success, and support teams to guarantee client satisfaction. Elevate LaunchDarkly's Visibility: Increase LaunchDarkly's visibility and communicate our value proposition effectively to Vice Presidents and C-Suite executives. Collaboration with Solutions Engineers: Work closely with your solutions engineer counterpart to deliver both business and technical value to prospects and customers. Cross-functional Collaboration: Collaborate with internal teams, including product support, developer relations, marketing, and revenue operations, to align our offerings with customer business needs effectively. About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. Intellectual Curiosity and Ambition: You have a hunger for knowledge and strive for ambitious goals. Excellent Communication: Your written and spoken communication skills are outstanding. Highly Organized & Autonomous: You are capable of efficiently managing your workload and thrive in an environment that encourages autonomy. Adaptability: You excel in a fast-paced and dynamic organizational setting. Qualifications: 8-10+ years of Strategic Sales Experience (closing), preferably within the B2B technology sector. Experience navigating complex deals over $1M. You have a demonstrable track record of consistently meeting or exceeding quota expectations of 1M+. You possess the expertise to navigate consultative sales cycles with Executive-level stakeholders at Fortune 500 companies. You have experience implementing and succeeding with a Land & Expand SaaS Sales strategy, effectively expanding business within large accounts (1M ARR+). Recent experience working for an emerging technology software company is a significant plus. Familiarity with and experience using the MEDDPIC sales methodology is advantageous. Travel: expected range of 25% to 50% as needed Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $336,800 - $371,000** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $303,100 - $334,000** Zone 3: All other US locations - $286,300 - $315,000** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

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 is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams. You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence. Key responsibilities Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards Advise on and advocate for privacy practices as a core part of how we approach AI safety Minimum qualifications Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale Experience designing and implementing privacy infrastructure for systems with a large user base Experience with data governance, classification, or data lifecycle management systems Experience with distributed systems and cloud infrastructure at scale Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs Experience conducting privacy reviews, threat modeling, or risk assessments Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams Preferred qualifications Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) Experience building privacy infrastructure or controls for machine learning or AI systems Experience establishing a privacy engineering practice, or being an early hire in a function Experience serving as a technical lead on complex, multi-quarter projects Contributions to open-source privacy tooling, privacy research, or industry standards 12+ years of experience in a software engineering role, including building and operating large-scale infrastructure 3+ years of experience leading large, complex projects as a technical lead 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.