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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real Work with Partner Enablement so that partner learning paths and certifications support each specialization Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working Design the review process to scale, using Claude and automation so that routine steps don't depend on a person Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams Work effectively where the process is still being built and the details are still changing Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience designing or running a partner competency, specialization, or credential program at a technology company Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people SQL or BI-tool skills sufficient to pull and check your own program data Experience taking a program from its first launch to a repeatable operating cycle Experience launching a program publicly with marketing and communications partners Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector Experience designing partner benefits or incentives, and an understanding of how they change partner behavior Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery 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: $300,000 — $365,000 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: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The GTM Strategy & Operations is on Harvey’s Revenue Operations team focused on our overlay organizations: Customer Success, Legal Engineering, and adjacent post‑sale teams. This team serves as a core strategic and operational partner to GTM, helping these overlays scale their impact across the customer lifecycle. In this role, you act as a strategic force multiplier and trusted advisor to overlay leaders, helping them sharpen strategy, tighten execution, and focus on the highest‑leverage work. You will spend your time partnering with these leaders, driving cross‑functional initiatives that support them, and building the operating rhythms that keep overlays and core sales aligned. It is an opportunity to sit close to customer‑facing decisions, influence how our overlay orgs evolve, and help define what “great” looks like for Harvey’s go-to-market engine. WHAT YOU'LL DO - Partner closely with overlay GTM leaders (e.g., Customer Success, Legal Engineering and related teams) to shape strategy, refine existing processes, and optimize execution across their organizations, bringing a clear point of view on where to focus. - Act as a business partner to these overlay teams, helping establish and evolve the strategic and operational foundations for how they plan, execute, and measure success in support of our broader GTM goals. - Drive Rhythm of the Business rigor and scalability for overlays by implementing and running operating processes and cadences (e.g., portfolio reviews, planning cycles, business reviews) that enable structured, repeatable growth. - Define, scope, and drive high‑priority initiatives that address complex, high‑impact problems for Customer Success and Legal Engineering, from opportunity identification through execution and follow‑through. - Work cross‑functionally with Sales, Customer Success, Legal Engineering, RevOps, Finance, and Product to align on goals, clarify roles between overlays and core teams, and ensure programs land cleanly in the field. - Translate qualitative and quantitative insights from overlay and field stakeholders into clear recommendations for GTM leadership, focusing on strategic trade‑offs, resourcing, and process improvements rather than pure analytics. WHAT YOU HAVE - 4+ years of experience in Revenue Operations, GTM Strategy & Operations, consulting, or finance. Ideal candidates will have a combination of GTM Strategy & Operations experience in a high‑growth B2B or SaaS environment, and experience in investment banking, private equity, venture capital, strategy / management consulting, or other highly analytical roles. - Demonstrated ability to be an effective business partner; you build trusted relationships, navigate different working styles, and influence without direct authority. - Strong cross‑functional collaboration skills; you are energized by working across Sales, Customer Success, Legal Engineering, and other teams and can bring people together around shared goals and clear operating plans. - Comfort with structured problem solving and making recommendations in ambiguous or undefined areas, even when inputs from overlay and core teams are imperfect or incomplete. - Bias toward action and ownership; you enjoy rolling up your sleeves, driving initiatives from 0→1, and iterating based on feedback from GTM and overlay stakeholders. - Clear written and verbal communication skills, with the ability to frame trade‑offs, articulate rationale, and align GTM and overlay leaders around decisions. COMPENSATION $136,000 - $204,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer, Data Governance & Trust San Mateo, CA About the role Sony Interactive Entertainment is seeking a Staff Software Engineer to help shape and deliver the technical foundation for Data Governance and Trust across our data and AI ecosystem. Our ambition is to make data understandable, reliable, reusable, and appropriately governed for the people, applications, and AI systems that depend on it. Achieving this requires shared platform capabilities, clear ownership, and governance practices embedded into how teams build and operate data products. In this role, you will establish technical direction, lead initiatives across teams, and remain hands-on in architecture and implementation. You will connect metadata, lineage, data quality, semantic context, and policy controls into practical capabilities that help teams use data with confidence. You will also be a trusted technical representative for the Data Governance and Trust group. We are looking for someone who can lead productive discussions, explain complex tradeoffs, navigate difficult conversations, and build alignment across engineering, business, governance, security, and privacy stakeholders. This is an individual contributor leadership role with impact across teams. What you will do Set technical direction and deliver shared capabilities Shape the architecture and technical roadmap for Data Governance and Trust in partnership with engineering leadership, product partners, domain teams, and governance stakeholders. Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation. Design and build services, integrations, APIs, and automation that connect metadata, ownership, classification, lineage, quality signals, and policy information across the data ecosystem. Establish reusable engineering patterns that embed trust requirements into data publishing, discovery, access, consumption, change, and retirement. Stay hands-on through prototypes, production code, design reviews, and the resolution of complex technical problems. Lead conversations and build alignment Serve as a technical spokesperson for the group in architecture discussions, planning forums, domain engagements, and leadership reviews. Facilitate discussions among stakeholders with different priorities, surface disagreements constructively, and guide decisions toward clear outcomes. Explain technical choices, business implications, risks, and costs to both engineering and nontechnical audiences. Challenge assumptions respectfully, incorporate feedback, and help teams reach workable agreements on standards, ownership, and implementation. Document decisions, clarify responsibilities and dependencies, and follow through on commitments across teams. Build relationships that enable adoption through credibility, collaboration, and influence. Make governance practical and sustainable Partner with governance, security, privacy, and domain stakeholders to translate agreed requirements into implementable controls and traceable evidence. Help domain teams define data contracts, quality expectations, ownership responsibilities, and lifecycle practices supported by shared platform capabilities. Connect quality and reliability signals to accountable owners, consumer communications, and remediation workflows. Evaluate build, buy, and integration choices based on interoperability, usability, reliability, operating cost, and long-term flexibility. Measure success through improvements in approved data use, adoption, reliability, reuse, and operational effort. Prepare the foundation for AI consumption Develop ways to make business meaning, provenance, quality status, and permitted-use information available to applications and AI through supported interfaces. Partner with AI and platform teams on governed access to data and context, including traceability and defined behavior when required trust information is missing. Support shared semantic definitions and metadata models while preserving clear accountability within business domains. Strengthen the team Mentor engineers in system design, technical judgment, stakeholder engagement, and leadership. Raise engineering standards for reliability, maintainability, testing, observability, and documentation. Help engineers take broader ownership and communicate their recommendations effectively. What you bring A track record of designing, building, and operating production software or data platforms, with demonstrated impact across multiple teams. Deep knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or closely related platform domains, grounded in practical delivery. Hands-on expertise building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems. A practical understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics. The ability to work across warehouse, lakehouse, streaming, and data transformation environments. Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code. Sound judgment in translating ambiguous business or policy requirements into clear technical designs and delivered outcomes. Proven ability to lead initiatives across teams without direct reporting authority. Skill in leading difficult technical or organizational conversations, resolving competing priorities, and securing clear decisions and commitments. Strong written and verbal communication, including architecture proposals, decision documents, and presentations tailored to different audiences. A collaborative approach grounded in listening, respectful challenge, and shared accountability. A commitment to mentoring engineers, supported by examples of improving the effectiveness of the teams around you. What would be valuable Strong software engineering skills, including proficiency in a language such as Python, Java, or Go, and practical SQL experience. Experience with distributed systems, APIs, integrations, and cloud data infrastructure, including sound judgment about reliability, consistency, security, and failure handling. Experience implementing controls that generate operational evidence. Delivering governed data or context services for analytics, applications, machine learning, or AI agents. Leading platform adoption, modernization, or migration across organizational boundaries. Representing technical work through internal forums, technical writing, communities of practice, or external presentations. What success looks like Partner teams understand the technical direction, the decisions required, and their responsibilities. Cross-team discussions produce documented decisions, accountable owners, and sustained follow-through. Priority workflows demonstrate connected governance capabilities in production, supported by clear operating ownership. Producers and consumers can access relevant meaning, ownership, lineage, quality, and permitted-use information within their workflows. Shared patterns reduce repeated implementation work and manual coordination. Engineers across the group grow in technical judgment, communication, and leadership. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $216,200 — $324,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: China; Malaysia; Singapore; Thailand Most senior sales roles come with a fixed product, a territory and a number. This one comes with a portfolio of proven technology, customers who already rely on it, and the freedom to decide what to build next in your region. The role has two parts: Build. Find the customer problems our technology can solve, shape new propositions with our product and engineering teams, and prove them through demonstrations and pilots. Win. Personally lead and close the deals that turn those propositions into revenue, then make them repeatable. You will not start from a blank canvas. We are looking for a seasoned enterprise hunter who already knows the buyers in their region and can open doors from day one. As your region grows, so does your remit: you will build the team, partners and plan to take it to the next stage. Why this role is different Room to create. You are not limited to a price list. Good ideas get product and engineering support, and you will work directly with the CEO and a small leadership team that makes decisions quickly. A strong starting position. Mission-critical software already running inside operators, and a digital experience testing platform used by enterprise engineering teams, give you multiple ways into a customer. Real support. BDR, marketing, pre-sales, solutions and global delivery teams behind you, with operations that are stable and well run. Upside that matches the ambition. Competitive base salary plus variable pay weighted to new business you originate and close. Our technology portfolio Our product lines span telecoms service activation and provisioning, SIM and number management, subscriber acquisition and dealer management, customer value management and loyalty, alongside digital experience testing and analytics for mobile, web and streaming applications, including real-device testing, test automation and quality-of-experience analytics. Together they let you enter a customer through one need, such as activation, loyalty or app quality, and build towards a broader relationship. Where you will play Telecommunications. Mobile and fixed operators and MVNOs. Banking and financial services. Retail and digital banks, payment providers and fintechs with business-critical digital journeys. Media and entertainment. Broadcasters, streaming and OTT video and audio services. Global technology and digital platforms. Large internet and platform businesses with demanding product and digital experience needs. Depth in one of these sectors matters more than coverage of all four. Regions and languages Asia including China: business-fluent English and Mandarin essential, including leading discovery and negotiation in Mandarin. Other Asian languages advantageous. Requirements Find the opportunities. Build executive relationships through outreach, industry insight, referrals and partners. Spot unmet needs and buying initiatives before they become tenders. Shape the propositions. With Product, Engineering and Delivery, turn customer insight into offers with a clear use case, pricing, business case and route to market. Test demand and economics before committing resources. Prove them. Run demonstrations, pilots and proofs of concept with agreed success criteria and a clear path to a contract. Close the business. Own complex enterprise pursuits from qualification through procurement, negotiation and signature. Expand and partner. Grow from the first product line into others across the customer, and build a focused group of systems integrators, testing service providers and technology partners with joint target accounts. Build the region. Own the regional plan, pipeline and forecast, and work with Finance on revenue, margin and investment. Recommend and hire the team as demand justifies it. What success looks like First 90 days: senior conversations opened with priority accounts from your existing network, a focused regional plan, agreed targets and a credible qualified pipeline. By six months: first signed business, at least one proposition validated with customers, and evidence of which offers and channels win repeatedly. By twelve months: bookings and revenue on target, multiple new customers, a strong forward pipeline and a plan for the region’s next stage. What you bring 10+ years of enterprise sales hunting. At least ten years selling B2B technology to large enterprises, with a consistent record of personally originating and closing complex new-logo contracts and beating targets. Something you built. Experience taking a technology-led proposition from customer need through launch to paying customers. Established relationships in your region. Named, active relationships with senior decision-makers at operators, banks, media or platform companies in your territory, and with the systems integrators and partners who influence them. A working knowledge of local procurement and competition. Sector depth. Success in telecoms, financial services, media or major technology platforms. Commercial and technical fluency. Value-based selling, business cases, pricing and margin, and the credibility to work with product and engineering leaders. Ownership. Entrepreneurial, persistent and able to mobilise colleagues who do not report to you. The regional language skills above are essential. You will stand out if you have founded or launched a business line, built a team, or opened a new market for a technology company. Benefits Competitive base salary and variable pay tied to new business. The freedom to shape the market approach and propositions for your region. Direct access to the CEO and leadership team, and the backing of established product, delivery and support teams. A remit that grows with the business you build.

Location: Port of Spain, Trinidad and Tobago We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. Role Overview: The Electromechanical Technician provides hands-on technical and operational support within the workshop, warehouse, yard, and field as required. The role supports equipment inspection, maintenance, repair, testing, preparation, and mobilization while ensuring work is completed safely, efficiently, and properly documented. The position requires a self-driven and flexible individual capable of supporting multiple workshop activities with limited supervision. Reports to: Workshop Supervisor / Maintenance Supervisor Level: Technician II Key Responsibilities Perform preventive and corrective maintenance on mechanical, electrical, hydraulic, pneumatic, and electromechanical equipment. Inspect, troubleshoot, repair, and function-test equipment and associated systems. Support equipment preparation, mobilization, demobilization, and post-job maintenance. Assist with multiple workshop scopes including maintenance, testing, inspection, equipment preparation, and general technical support. Read and interpret electrical schematics, mechanical drawings, equipment manuals, and technical documentation. Identify equipment defects and recommend required repairs, parts, or corrective actions. Maintain accurate maintenance, inspection, defect, and equipment service records. Prepare clear and professional technical reports covering work completed, findings, recommendations, and outstanding actions. Use Microsoft Word, Excel, Outlook, and Teams effectively for reporting, tracking, communication, and coordination. Assist with equipment, tools, spare parts, and consumable control within the workshop and warehouse. Maintain good housekeeping and ensure tools, equipment, and work areas remain safe and serviceable. Take ownership of assigned tasks and communicate progress, delays, material requirements, or technical concerns. Support other workshop and operational activities as priorities change. Follow company HSE procedures, risk assessments, work instructions, and manufacturer recommendations. Requirements Technical Diploma or Certificate in Electromechanical, Electrical, Mechanical Engineering, Industrial Maintenance, or similar discipline. Preferably 2–3 years of relevant industrial, workshop, or maintenance experience. Practical mechanical and electrical troubleshooting experience. Ability to use hand tools, power tools, and electrical diagnostic equipment safely. Ability to read technical drawings, schematics, and equipment manuals. Competent in Microsoft Word, Excel, Outlook, and Teams. Good written communication and report-writing skills. Experience with hydraulic, pneumatic, electrical, pumps, compressors, generators, or similar industrial equipment is an advantage. Key Competencies Strong safety awareness Mechanical and electrical troubleshooting Good technical report writing Microsoft 365 proficiency Self-motivated and able to work with limited supervision Good organization and attention to detail Ability to manage and prioritize multiple tasks Flexible and willing to support different workshop scopes Good problem-solving ability Strong teamwork and communication Accountable for completing and closing out assigned work Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Jazan, Saudi Arabia; Jeddah, Saudi Arabia The Reliability Engineer is responsible for ensuring the reliability, availability, efficiency, and safety of equipment and systems used in gasification and power generation operations. The role focuses on implementing preventive and predictive maintenance strategies, investigating equipment failures, analyzing performance data, and driving continuous improvement initiatives to minimize downtime and optimize asset performance. If selected, the work location would be onsite at Jizan, Saudi Arabia. Responsibilities Monitor equipment performance and reliability, identifying potential risks and areas for improvement. Develop and implement preventive and predictive maintenance strategies to minimize equipment failures and unplanned downtime. Conduct Root Cause Analysis (RCA) and failure investigations to identify and address recurring equipment issues. Analyze equipment performance data, maintenance records, and reliability trends to recommend improvements. Apply reliability methodologies such as Reliability-Centered Maintenance (RCM), Failure Mode and Effects Analysis (FMEA), and Total Productive Maintenance (TPM). Collaborate with operations and maintenance teams to improve equipment availability and operational efficiency. Ensure compliance with applicable safety, environmental, and industry standards. Prepare reliability reports, risk assessments, and recommendations for stakeholders. Identify and implement continuous improvement initiatives using reliability tools and emerging technologies. Requirements Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related engineering discipline. 5–8 years of relevant experience in reliability engineering or maintenance management, preferably within the energy, gasification, power generation, or industrial sector. Strong understanding of reliability engineering principles, maintenance strategies, and equipment performance optimization. Experience with predictive maintenance techniques such as vibration analysis and thermography is an advantage. Knowledge of reliability methodologies, including RCA, RCM, FMEA, and TPM. Familiarity with Computerized Maintenance Management Systems (CMMS) and reliability analysis tools. Strong analytical, troubleshooting, and problem-solving skills. Good communication and reporting skills, with the ability to collaborate effectively with cross-functional teams. Reliability-related certifications such as CRE or CMRP are an added advantage.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As a People Partner at Docker, you will work with managers and employees across Marketing, G&A, and Products to help teams perform, grow, and navigate everyday people needs. This is an individual contributor role for someone with solid HR experience, clear communication, and a practical approach to solving problems. You will build trusted relationships, coach managers, and own work from start to finish. You will work independently within your scope, partnering with your manager and People Team colleagues on more complex or sensitive matters. _______________________________________________________________________ WHAT YOU’LL DO - Build relationships with managers and employees across your client groups. Understand their priorities, team dynamics, and how you can support them. - Coach managers on setting expectations, giving actionable feedback, supporting development, and addressing performance concerns promptly and fairly. - Guide managers and employees through day-to-day and moderately complex employee matters. Gather relevant facts, evaluate options, and recommend practical next steps. - Recognize when a situation requires broader input. Raise concerns promptly and bring a clear summary, your assessment, and questions to your manager or the appropriate partner. - Coordinate and deliver core people processes within your client groups, including performance reviews, talent reviews, compensation cycles, promotions, and engagement action planning. - Use people data and employee feedback to identify team-level patterns, recommend actions, and track follow-through. - Help managers clarify roles, responsibilities, and team expectations. Support defined parts of workforce planning and organizational changes in partnership with your manager. - Work with Talent Acquisition, People Ops, Total Rewards, Finance, Legal, and other partners to resolve questions and move shared work forward. - Support global and distributed teams, working with regional experts to account for local requirements and differences in employee experience. - Own defined People Team projects or workstreams, managing commitments, communicating progress, and raising blockers early. - Share knowledge and practical resources with teammates, contribute ideas for improving processes, and actively seek feedback on your own development. _______________________________________________________________________ WHAT YOU’LL BRING - Relevant HR experience, typically four or more years, including hands-on experience advising managers as a People Partner, HR Business Partner, or in a similar role. - Solid working knowledge of employee relations, performance management, talent development, compensation processes, and employee engagement. - The ability to manage moderately complex work independently, organize competing priorities, and follow through on commitments. - Sound judgment about what you can resolve within your scope and when to involve your manager or a specialist. - Clear, thoughtful communication. You can explain sensitive information, ask useful questions, and offer a recommendation supported by facts. - The ability to build credibility across teams, work through disagreement respectfully, and raise concerns when something needs attention. - Curiosity about the business and an understanding of how people decisions affect team outcomes. - Comfort using data to identify patterns and inform practical recommendations. - Care, discretion, and attention to detail when handling confidential information. - Experience working with distributed or global teams, or a demonstrated ability to collaborate across locations and time zones. - Comfort using AI tools to support your work, with independent review of their outputs and sound judgment about handling sensitive information. - Experience supporting Marketing, Product, or G&A teams is a plus, as is experience in a technology company. _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE In the first month, you will learn Docker’s culture, People Team practices, and the priorities and structures of your client groups. You will connect with managers, understand current people needs, and learn where to find guidance and support. In the first three months, you will independently manage day-to-day partnering needs and assigned people processes. You will provide practical manager guidance, follow through on commitments, and bring clear assessments when an issue needs broader input. In the first year, you will be a trusted, reliable partner to managers and employees across your client groups. You will own moderately complex work from start to finish, contribute to improvements in team effectiveness, and deliver defined projects that support People Team and business priorities. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.   United States: $103,000 – $147,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Strava London Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THE ROLE The Strava for Business team partners with the world's leading brands and agencies to inspire active communities and connect with athletes in meaningful ways. Our sponsorship solutions offer an innovative alternative to traditional advertising — rooted in motivation, community, and real-world impact. We're growing fast and quote-to-cash rigor is the foundation of that growth. Today, the individual stages of our commercial process have clear owners across Sales, Creative Solutions, Partner Marketing Science, Legal, Product and Finance. The gap is in how those stages work together end to end. This role sits within GTM Strategy & Operations, reporting into the Global Lead of the function. This is a high-impact, high-autonomy role. You'll work at the intersection of all teams that are involved in our quote-to-cash process. This is a role for someone who excels in taking complex go-to-market problems, redesign the underlying process and drive change across teams, systems and ways of working. We follow a flexible hybrid model that translates to more than half of your time on-site in our London, UK office — three days per week. WHAT YOU'LL DO • Own and improve quote-to-cash. Map the end-to-end commercial journey, identify bottlenecks and redesign processes so deals move cleanly from opportunity through delivery and revenue recognition. • Lead cross-functional quote-to-cash transformation. Work across Sales, Partner Marketing Science, Creative solutions, Legal, Finance, IT and Product to solve problems that sit between functions and drive improvements through to completion. • Integrate new products and capabilities. Make sure new propositions can be quoted, contracted, delivered, reported, invoiced and recognised cleanly before they scale. • Improve business systems and handoffs. Design better workflows across the commercial stack, including HubSpot, Ironclad, delivery tooling, billing and revenue systems. Ensure data, ownership and approvals move cleanly between them. • Build operational visibility. Establish the KPIs, reporting and escalation mechanisms needed to understand where the commercial engine is working - and where it is not. • Own the transformation roadmap. Help make the operating model real by ensuring global design is informed by regional and XFN teams needs and can be deployed effectively. WHAT YOU’LL BRING TO THE TEAM • Minimum 5+ years of relevant experience in quote-to-cash, revenue productivity, commercial learning, go-to-market enablement, strategy and operations, product operations, program management or a closely related field. • Hands-on experience running or redesigning quote-to-cash, covering at least two of quoting, contracting, order management, billing and revenue recognition handoffs, and working directly with Legal and Finance. • A proactive mindset with the ability to navigate ambiguity, drive and execute initiatives, and deliver results in a fast-paced, dynamic environment. • Comfort operating in a builder environment — you're not inheriting a playbook; you're helping create it. You thrive with autonomy, move quickly through ambiguity, and are energised by building from zero. • Ability to map complex processes, identify root causes and design simpler, scalable operating models. • Strong communication, stakeholder management, and storytelling skills, with comfort presenting recommendations and direction to stakeholders. • Demonstrated ability to manage multiple projects, prioritize effectively, and meet deadlines. • A detail-oriented, methodical, and process-driven mentality that is focused on both accuracy and efficiency. • Demonstrated ability to operate at the intersection of Sales, Product, Legal, Finance, and regional teams, with strong influence in a matrixed environment. IDEALLY, YOU'LL ALSO BRING • Experience in adtech, media, advertising platforms or digital partnerships, with an understanding of the operational complexity behind deal delivery, measurement, creative operations, contracting and revenue recognition. • Familiarity with CRM platforms (e.g., Salesforce, HubSpot), Asana, Ironclad. WHAT SUCCESS LOOKS LIKE • The end-to-end commercial process is documented and ownership is clear. • The biggest quote-to-cash bottlenecks have been identified and materially removed. • Critical handoffs between teams and systems are more reliable and measurable. • New products can enter the commercial process without bespoke workarounds. • Leadership has a clear view of operational health and where intervention is needed. • GTM operations are built ahead of the business's growth rather than catching up with it. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vQaL4k0r5qTzPPaz8ijiQE4zKfTUTfKaT9T5SGrNryOI6myGi7L5PtJs6l5iUF5hmVzFpJl0k6cLxWF/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

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

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

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

Location: San Francisco, California; Seattle, Washington Workplace: Remote We're looking for a Director of Product to lead Temporal's product-led growth and self-service strategy, including how AI developers and the AI agents working alongside them discover and adopt Temporal. In this role, you'll set the vision and build the systems that help developers, teams, and increasingly their agents discover, activate, and scale with Temporal — without friction. You'll own how new users onboard, find value, and grow their usage, while building and leading a team that shapes how thousands of developers experience and adopt Temporal Cloud. Your work will drive product adoption and conversion across key funnel stages, laying the foundation for long-term engagement, expansion, and growth at scale. With Temporal becoming the foundation for building AI, your work will drive rapid consumption of Temporal for emerging AI developers and teams to rapidly experiment and scale. As developers increasingly build with AI coding assistants and autonomous agents, you'll define how Temporal shows up in that world, from agent-ready onboarding and documentation to being the platform that AI tools and agents find, understand, and choose. WHAT YOU'LL DO - Define and own the vision for Temporal's self-serve experience — setting the strategy for how new users sign up, onboard, and realize value in Temporal Cloud - Set the strategy for an agentic future of PLG — including how AI agents and AI coding tools discover, evaluate, onboard onto, and adopt Temporal, and how we optimize for being found and recommended by agents (AEO) - Lead and scale product-led growth initiatives that drive activation, adoption, and expansion through in-product experiences, lifecycle touchpoints, and experimentation - Ensure documentation, skills, and AI-assisted onboarding experiences work as part of the product, so both developers and their agents can get to value quickly - Build, mentor, and develop a team of PMs focused on growth and self-service, establishing a high-performance product culture - Partner at the leadership level with Marketing, Growth Engineering, Design, and GTM to align PLG strategy with company-wide priorities and revenue goals - Influence and align engineering teams across the platform to deliver self-serve and AI-developer experiences end to end, without direct authority - Establish the measurement framework — defining and owning key metrics such as activation, retention, conversion, and expansion, and holding the team accountable to outcomes - Champion the developer experience at an organizational level — ensuring onboarding, documentation, and product design create a clear and rewarding path to success - Translate data, behavioral analytics, and user research into a prioritized roadmap, including where the next wave of developers will come from, and communicate it clearly to executives and cross-functional partners WHAT YOU'LL BRING - 10–15+ years of product management experience, with significant time in senior or leadership roles owning self-serve, PLG, or growth strategy in SaaS or developer-centric products - Demonstrated experience building and leading PM teams, with a track record of developing strong product talent - A practitioner's track record: you have built or significantly improved a self-serve or PLG motion yourself, can walk through what you changed, the measured impact, and how you communicated it end to end - Deep expertise in product funnels, activation metrics, experimentation frameworks, and lifecycle optimization at scale - A strong point of view on how AI is changing developer adoption, including AI-assisted onboarding, agent-friendly documentation and tooling, and how developers and agents discover and choose products - Strong executive presence and communication skills — able to set direction, explain complex topics in plain language, make the case for investment, align stakeholders, and influence without authority across the organization - A proactive, hands-on collaborator who drives toward answers and gets things done across multiple engineering and cross-functional teams - Fluency with analytics tools (Amplitude, Mixpanel, SQL, BigQuery, or similar) and a deeply data-driven approach, with the ability to find where new developers will come from and drive a data-informed culture across your team - Familiarity with open-source or developer ecosystem products is a strong plus - A builder's mindset with the strategic vision to zoom out and the operational discipline to execute Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 At ClickUp, we’re building an AI-powered workspace that brings tasks, docs, chat, and AI-enabled workflows together so teams can spend less time switching tools and more time making progress. Our mission is to make the world more productive. Within Solutions Engineering & Customer Enablement, this role connects complex customer needs to practical product solutions, helping prospects and customers evaluate how ClickUp can support their workflows and business goals.   As a customer-facing technical partner to Sales and Success, you’ll lead discovery, shape solution strategy, and turn technical questions into clear next steps. You’ll help customers see what’s possible with ClickUp while keeping recommendations grounded in real workflows, integration needs, and adoption considerations.   Mission   Help prospects and customers understand how ClickUp can solve meaningful workflow and productivity challenges through strong technical discovery, practical solution design, and credible guidance throughout the buying journey.   What You’ll Accomplish - Partner with Sales and Success to lead technical discovery, deliver tailored demos, and show how ClickUp, integrations, and AI-enabled workflows map to customer needs. - Design and lead proof-of-value or proof-of-concept work so buyers can validate product fit, adoption potential, and business impact. - Translate stakeholder requirements into clear solution recommendations, including workflow design, reporting approaches, and lightweight technical architecture. - Support technical validation in live opportunities, including integration discussions, data migration considerations, security and process questions, and RFP responses. - Build custom reports, dashboards, and demo environments that reflect real customer use cases and make the platform concrete and credible. - Stay current on product capabilities and releases so you can explain solutions accurately and connect new features to customer needs. - Work with Account Executives, Customer Success, Product, and Engineering to remove blockers and improve the customer experience.   Required Qualifications - Experience in a customer-facing technical role in software, such as pre-sales, solutions engineering, sales engineering, technical consulting, implementation, or a closely related path. - Demonstrated ability to lead technical discovery, live demos, and solution conversations with business and technical stakeholders. - Ability to turn ambiguous customer problems into structured recommendations, persuasive narratives, and practical next steps. - Comfort discussing APIs, integrations, automation, data flows, and change-management considerations in clear, customer-friendly language. - Strong presentation and executive communication skills, with the ability to influence technical and non-technical audiences. - Consultative, outcomes-oriented judgment that balances technical depth with commercial urgency. - Ability to manage multiple customer opportunities and priorities with ownership, adaptability, and clear follow-through.   Preferred Qualifications - Experience supporting complex B2B SaaS evaluations with multiple stakeholders and proof-of-value work. - Familiarity with workflow, collaboration, productivity, CRM, support, or automation platforms. - Hands-on experience with integration platforms, web services, APIs, or adjacent solution-design tools. - Experience with business process mapping, value-based selling, and technical storytelling. - Exposure to AI-enabled product workflows and the ability to explain their practical customer value.   Location & Travel - This U.S.-aligned role supports AMER customers and internal partners and requires effective collaboration across U.S. business hours. - This role is fully remote within the United States. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. JOB PURPOSE: The Technical Program Governance team enables complex technical initiatives across PlayStation engineering organizations by creating clarity, alignment, and disciplined execution across organizational boundaries. As a Staff Technical Program Manager, you will lead large, strategic technical programs that span multiple teams, technologies, and stakeholders. You will translate business and technical objectives into executable plans, bring structure to ambiguity, and ensure risks, dependencies, decisions, and tradeoffs remain visible and actively managed. This role requires a strong technical foundation and the judgment to operate as a trusted partner to engineering and architecture leaders. You will influence without relying on positional authority, select and adapt program approaches to fit the problem, and improve the operating systems that help teams deliver effectively at scale. EXPERIENCE & QUALIFICATIONS: Essential • 8+ years of relevant technical program or project management experience, including ownership of complex software or technology initiatives spanning multiple teams or organizations. • Demonstrated technical fluency across software systems, platforms, architecture, integrations, and engineering practices; able to understand system interactions, ask informed technical questions, and translate technical complexity into program decisions. • Proven ability to lead large strategic programs end to end, from problem definition and planning through execution, delivery, and measurable outcomes. • Strong independent judgment and problem-solving skills, with experience operating effectively in ambiguous environments where the path forward is not predefined. • Experience managing cross-team dependencies, technical risks, roadmaps, milestones, requirements, decision points, and delivery tradeoffs across the software development lifecycle. • Ability to influence senior technical and business leaders, build alignment across competing priorities, and drive decisions without direct authority. • Experience designing or improving program operating models, governance, planning cadences, metrics, or ways of working that scale beyond a single initiative. • Strong written and verbal communication skills, including the ability to create concise executive narratives while maintaining sufficient technical depth for engineering audiences. • Demonstrated ability to mentor, coach, or raise the effectiveness of other TPMs and cross-functional partners through reusable practices and knowledge sharing. Desirable • Prior hands-on experience in software engineering, systems engineering, QA, architecture, or another technical discipline. • Experience supporting platform, infrastructure, developer tooling, cloud, distributed systems, or other complex engineering environments. • Experience leading standardization, transformation, or organizational change initiatives across multiple technical teams. • Background in the games or interactive entertainment industry. KEY RESPONSIBILITIES & SCOPE FOR DECISION MAKING: Technical Program Management • Lead large, strategic technical programs spanning multiple engineering teams, organizations, technologies, or geographies, with accountability for end-to-end outcomes. • Build integrated program plans and roadmaps that connect technical requirements, architecture, dependencies, milestones, resources, risks, and decision points. • Develop sufficient understanding of system architecture and technical constraints to identify cross-system impacts, challenge assumptions constructively, and improve planning and decision quality. • Partner closely with engineering leaders, architects, product partners, and other technical stakeholders to translate objectives into clear execution strategies and drive resolution of complex issues. • Anticipate and actively manage technical and organizational dependencies, surfacing tradeoffs early and driving decisions before they become delivery blockers. • Establish clear program health measures and provide decision-quality visibility into progress, risk, scope, and outcomes for senior stakeholders. Strategy and Decision Support • Operate as a trusted partner to senior leaders, using technical context, program data, and organizational knowledge to shape recommendations and execution strategy. • Use independent judgment to determine the right program methodology, governance, and operating model for the work rather than applying process mechanically. • Analyze complex problems across organizations and technologies, identify patterns and root causes, and drive practical solutions that balance technical, business, schedule, and resource considerations. • Strengthen requirements and major program decisions by connecting business objectives with technical realities, long-term implications, and customer or organizational value. • Create clear narratives and recommendations that enable senior leaders to understand options, tradeoffs, risks, and required decisions. Organizational Impact and TPM Practice • Design and improve scalable program practices, governance, planning cadences, OKRs/KPIs, and decision mechanisms that increase clarity and execution effectiveness across multiple teams. • Identify where existing processes or methodologies create unnecessary friction and adapt or simplify them while preserving appropriate rigor and accountability. • Lead change and standardization efforts where needed, building adoption through stakeholder engagement, practical implementation, and measurable outcomes. • Mentor TPMs and cross-functional partners, share reusable practices, and contribute to stronger technical program management capability across the organization. KEY PERFORMANCE INDICATORS The individual will be measured on: • Successful delivery of large, complex technical programs with clear business and engineering outcomes. • Quality and timeliness of decisions, risk management, dependency resolution, and executive visibility. • Effectiveness in creating alignment across technical teams and senior stakeholders without direct authority. • Measurable improvements to program operating models, governance, and organizational execution capability. • Demonstrated technical credibility, independent judgment, and ability to raise the effectiveness of others. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $206,800 — $310,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Islamabad Capital Territory, Pakistan International Trade Compliance Assistant Operations · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity We are looking for a Trade Compliance Associate to support day-to-day compliance for our imports and exports. You will prepare and review customs entries and supporting documents, keep our classification and origin records accurate, and catch issues before they become penalties. You will hand every entry, document package, and correction to the Import/Export Manager, who holds approval authority. You will work directly with customs brokers, freight forwarders, suppliers, and internal teams, and report to the Import/Export Manager. What You'll Own Review customs entries and supporting documents for accuracy of declared values, HTS classifications, country of origin, and quantities, ensuring managerial approval before and after filing. Verify commercial invoices, packing lists, bills of lading, purchase orders, and shipping documents for completeness and consistency, flagging discrepancies before shipment departure. Research and recommend HTS codes for new products, maintain classification records, determine country of origin, and assess eligibility for trade agreements and special duty programs. Review customs valuation documentation, including First Sale packages where applicable, verify duty and fee calculations, and reconcile broker invoices, ACE reports, and monthly statements. Generate and analyze ACE reports to monitor customs entries, duty payments, and broker accuracy; reconcile shipment and inventory records, investigate discrepancies, and escalate compliance risks. Maintain accurate, audit-ready customs records in accordance with five-year retention requirements; prepare post-summary corrections, post-entry amendments, and draft responses to CBP inquiries (CF-28 and CF-29). Monitor customs filing deadlines, liquidation and protest timelines, regulatory and tariff changes, and maintain internal compliance procedures while guiding teams on documentation requirements. Skills & Qualifications Bachelor's degree in International Trade, International Business, Customs Administration, Supply Chain Management, or a related discipline. 1–3 years of relevant experience in import/export compliance, customs brokerage, freight forwarding, or international trade operations. Working knowledge of U.S. Customs regulations (19 CFR), Harmonized Tariff Schedule (HTS) classification, rules of origin, customs valuation, and Incoterms. Hands-on experience reviewing U.S. Customs entry summaries (CBP Form 7501) and working with Automated Commercial Environment (ACE) reports. Understanding of international trade agreements, Section 301 tariffs, and applicable special duty programs. Strong Microsoft Excel skills, particularly for data analysis, reconciliations, and compliance checks. Strong analytical and organizational skills, with excellent attention to detail and the ability to manage trade compliance documentation accurately. Proficiency in reading and writing English, with the ability to understand customs documentation and communicate effectively in a professional environment. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Sensor Intelligence Engineer to help develop, validate, and scale the sensor algorithms and tools that transform noisy physiological signals into meaningful member insights. As part of a cross-functional team spanning Sensor Intelligence, Hardware, ML Research, WHOOP Labs, Firmware, Apparel & Accessories, and other engineering disciplines, you will develop robust algorithm verification and validation methodologies, evaluate sensor and algorithm performance against appropriate reference data, build diagnostic and analysis tools, characterize failure modes, and help determine algorithm readiness for real-world deployment across our diverse member population. RESPONSIBILITIES: - Develop end-to-end verification and validation methodologies for sensor algorithms and biosensor systems, including test design, reference-data comparison, performance metrics, acceptance criteria, and readiness assessment across large-scale datasets - Partner with Data Science, WHOOP Labs, Research, Firmware, and other engineering teams to design representative data collections, evaluate algorithm performance against reference measurements, characterize failure modes, and determine readiness for real-world deployment - Apply signal processing, statistical analysis, and machine learning techniques to physiological time-series data to identify performance opportunities, investigate algorithm failures, and improve sensor-derived insights - Build and maintain scalable workflows, dashboards, and diagnostic tools for algorithm validation, regression testing, performance monitoring, data quality assessment, and sensor behavior across diverse populations and use cases - Contribute to software development, debugging, testing, and validation processes, ensuring analytical tools, algorithms, and results meet production-quality standards - Communicate findings through clear technical documentation, reports, and visualizations that enable cross-functional teams to make informed product and engineering decisions QUALIFICATIONS: - Bachelor’s or Master’s degree in electrical engineering, biomedical engineering, applied mathematics, statistics, computer science, or a related quantitative field, or equivalent practical experience - 5+ years of industry or research experience working with signal processing, machine learning, statistical analysis, algorithm validation, or related quantitative methods - Experience analyzing time-series data and applying core signal processing techniques such as filtering, spectral analysis, peak detection, and windowing - Demonstrated experience independently designing and driving validations studies, including one or more of test methodology development, reference-data comparison, performance evaluation, acceptance-criteria definition, or failure-mode investigation. - Proven track record of investigating intricate or ill-defined technical challenges, pinpointing root causes, and delivering solutions across algorithm, sensor, data, and system domains - Proficiency in Python and/or C, with experience developing reliable tools or software for data processing, analysis, or algorithm validation - Strong foundation in statistical inference and experimental analysis, including the ability to select appropriate methods, interpret results, and communicate analytical trade-offs - Experience working with large datasets and modern engineering or data infrastructure such as Git, CI/CD systems, cloud platforms, or data warehouses - Strong written and verbal communication skills, with the ability to translate complex technical findings into concise documentation, visualizations, and actionable recommendations - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process. This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. RESPONSIBILITIES - Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve - Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done - Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards - Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics - Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan - Track partnership performance after signing - Own the partnerships forecast and its contribution to the annual plan - Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap REQUIREMENTS - 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking - Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data - Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin - Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions - Comfortable building from scratch and making decisions with incomplete data - Strong attention to detail with a bias toward ownership and execution - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs - Experience at a usage-based company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote - Colombia Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Compliance Operations Specialist About the job This role is part of Twilio’s Compliance Operations team, which helps ensure that customer activity on our platform follows industry rules and Twilio’s internal policies. You’ll be responsible for reviewing alerts and account activity for Messaging and Voice traffic to assess whether it complies with Twilio’s Voice Policy, Messaging Policy, Acceptable Use Policy, and relevant regulatory requirements across global carrier networks. When non-compliant activity is identified, such as messaging that violates local telecom rules or improper use of voice services, you’ll work with customers to explain the issue and guide them toward a compliant solution. In some cases, you’ll also take enforcement action to stop the non-compliant activity from continuing on Twilio’s platform. This is an analytical and communication-heavy role that requires strong judgment, attention to detail, and the ability to work through ambiguous situations. You’ll be expected to make informed decisions and explain those decisions clearly to customers, even when the guidance may not always be black and white. We’re looking for someone who enjoys digging into complex issues, learning how global telecom regulations apply to real-world traffic, and helping customers understand how to stay compliant. The ideal candidate is curious, investigative by nature, and comfortable with both independent research and customer-facing communication. Responsibilities In this role, you’ll: Investigate potential violations: Review account activity, messaging behavior, and data to identify signs of abuse or misuse. You'll be trained to spot red flags and patterns linked to spam or scams, and take quick action to mitigate risk. Stop bad actors before they cause harm: You'll use internal tools and available data to find and shut down non-compliant activity that could negatively impact Twilio’s customers or consumers who receive unwanted calls or texts. Communicate directly with customers: A major part of the job is customer-facing, primarily through email via our ticketing platform Zendesk. You'll notify customers of policy violations, provide them with clear guidance on how to fix issues, and sometimes inform them that their access to Twilio is being restricted or terminated. Analyze trends and prevent future abuse: Go beyond individual cases by recognizing recurring themes, identifying root causes, and helping recommend long-term solutions to keep bad actors off the platform. Work with data: You’ll regularly examine call and messaging records to trace activity, identify patterns, and support enforcement decisions with evidence. Support global impact: The work you do directly affects businesses, mobile carriers, and end users around the world. Your decisions may impact high-profile brands and millions of consumers globally. Prioritize clarity and accuracy: Because most communication is written, especially through email, you’ll need strong writing skills to explain policy violations and technical details in a way that customers understand and can act on. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Willingness to work a non-traditional schedule; weekends, holidays and evenings may be required Experience working in a fast paced, ambiguous environment, with a strong bias for action You’re empathetic and love working with customers and carriers to solve their problems and questions, backed with data You are detail-oriented with good organizational skills and comfortable with ambiguity You have above average written and verbal communication skills and are able to articulate concepts/ideas in a clear, concise manner You are willing to collaborate with communications partners and players in the industry to resolve issues, troubleshoot, and build trust You have the ability to make sound decisions in a fast paced environment You have good time management and organizational skills and are comfortable working under pressure Excellent written communication skills in English Desired: Basic knowledge of using spreadsheets including formulas. Have 1-2 years experience in fraud, abuse or compliance in ecommerce, FinTech, or telecommunications. 1-2 years experience working in a queue based environment triaging and resolving tickets. Location This role will be remote, and based in Colombia. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.