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Location: São Paulo, Brazil; Bogotá, Colombia; Buenos Aires, Argentina; Lima, Peru; Santiago, Chile We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a Senior Analytics Engineer to join a technology consulting firm focused on the wholesale distribution industry and the Infor CloudSuite Distribution ecosystem. In this role, you’ll lead the design, implementation, and ongoing support of business intelligence solutions, taking ownership of the analytics stack, from ERP data and data modeling to dashboards and reports for end users. You’ll work across different data sources and platforms, helping clients get accurate, consistent reports and building reusable solutions for future projects. 🟩 What's in it for you: Take on complex, hands-on analytics work and help shape a growing analytics practice Work across modern analytics platforms, including Microsoft Fabric, Power BI, and Infor Birst Own end-to-end BI solutions that turn ERP data into trusted reporting for day-to-day business decisions ✅ Is that you? 10+ years in BI, analytics engineering, or data warehousing, including client-facing or multi-business-unit delivery Strong Power BI expertise: data modeling, advanced DAX, Power Query/M, performance tuning, deployment management, and row-level security Hands-on Microsoft Fabric experience: lakehouses/warehouses, Dataflows Gen2, pipelines, and semantic models Advanced SQL and query tuning for large transactional tables ETL/ELT design, including incremental loads, slowly changing dimensions, error handling, and scheduling Dimensional modeling: star schemas, fact tables, conformed dimensions, and data grain Experience extracting ERP data and reconciling reports against the system of record Ability to turn ambiguous business needs into technical designs and explain them to non-technical stakeholders Upper-Intermediate+ English level for confident client communication Strong documentation skills and experience supporting production analytics solutions Willingness to learn and work with additional analytics platforms Experience using AI tools in development and interest in conversational analytics Desirable: Strong Azure data platform experience alongside Microsoft Fabric Hands-on Infor Birst skills: spaces, logical modeling, connectors, dashboards, and security Familiarity with Infor CloudSuite Distribution, SX.e, or Infor ION/Data Lake and their underlying data structures Experience with Phocas or similar distribution-focused BI products Wholesale distribution knowledge: order-to-cash, purchasing, inventory, pricing, margins, and fill rates Experience with ERP-embedded analytics tools and the trade-offs of extending versus replacing them Python or Spark for data transformation; Git and CI/CD for analytics assets Microsoft certifications (PL-300, DP-600, DP-700) or equivalent Experience in consulting, MSP, VAR, or ERP partner environments, supporting multiple client tenants Familiarity with Power Automate, Power Apps, and Dataverse 🧩 Key responsibilities and your contribution In this role, you'll lead the development, implementation, and ongoing improvement of analytics solutions for clients. Design and build data platforms in Microsoft Fabric; lead Power BI implementations end to end Establish analytics governance standards for clients Lead Infor Birst implementations, extensions, and ongoing support; build and maintain spaces, logical models, hierarchies, measures, and security filters against Infor CSD data Extend and troubleshoot CSD dashboards and reports; resolve data refresh, connector, and performance issues Profile data from Infor CSD and related systems, and design reliable, low-impact extraction and ingestion processes Preserve raw data for reprocessing; handle change capture and deletes to prevent data loss Ingest non-ERP data and map it to conformed dimensions for analysis alongside ERP data, resolving data inconsistencies during ingestion Monitor solutions with failure alerts, row-count and freshness checks, and schema-drift detection; document recovery steps Build and maintain pipelines that transform ERP data into dimensional models for analysis Write and tune SQL; implement incremental loads and data quality checks Support clients using platforms such as Phocas with data feeds, mapping, model design, and ERP integration; advise on platform suitability and maintenance costs Use AI tools to improve development, data profiling, documentation, and testing; deliver conversational analytics, prepare semantic models for natural-language queries, and evaluate emerging AI analytics capabilities Translate distribution business needs into data requirements and working solutions; create technical documentation, runbooks, and handover materials Train and support client power users in extending analytics content Build reusable templates, models, and accelerators to facilitate future implementations I nterested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $310,000 — $360,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $225,000 — $265,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: United States Workplace: Remote Manager, Commercial Operations We are looking for a Manager of Commercial Operations to build and run the transactional engine of the commercial function inside Revenue Operations. ClickHouse runs on a usage-based pricing model, and every deal – direct, marketplace, or partner – has to land correctly in the system: quoted against the right rules, ordered against the right contract structure, and booked cleanly enough that Accounting can bill and recognize it without rework. As we scale the cloud business and widen the product line, that path has to carry more volume, more products, and more deal structures without adding people to the middle of it. This role designs the systems, automation, and controls that make that possible. Reporting to the Director, Commercial Strategy & Operations, you will own the quote-to-order path and order management, along with the build behind it: the CPQ and quoting system requirements, the automation, the validation and controls, and marketplace transaction operations across AWS, GCP, and Azure. The goal is a commercial path where the standard deal is self-service for the field, quality is enforced by the system rather than by who touched the deal, and human review is reserved for the cases that genuinely need judgment. You will be measured by how fast and how cleanly a deal moves, how little intervention it requires, and how good the experience is for the rep. You will partner daily with Sales, Accounting, Finance, Legal, and Revenue Engineering. WHAT YOU'LL BE DOING - Own order management and automate it. Run the intake, review, and processing of quotes, order forms, and bookings to defined SLAs through quarter-end peaks, and continuously engineer the manual steps out of that path. - Design the quote-to-order flow. Instrument the process, find where it slows or breaks, and redesign it. You own the architecture of the flow, the exception routing, and the automation that makes the standard case hands-off. - Own the quoting and order management system build. Write the requirements, design the quoting, validation, and approval logic, drive the roadmap with Revenue Engineering, run UAT, and validate every change in production before the field sees it. - Own the handoff into billing and revenue. Partner with Accounting so that what leaves your process arrives structured, complete, and reconcilable – and build the controls upstream that keep downstream rework from happening at all. - Build quality in as controls. Validation rules, guided quoting, required-field logic, and automated reconciliation that make an incorrect order hard to submit in the first place. - Own the field experience of transacting. Treat the rep as the customer: fewer steps, fewer handoffs, shorter quote cycle time, and a standard path that is obvious and self-service. Measure whether it is getting easier. - Build and run marketplace transaction operations across AWS, GCP, and Azure. Private offers, CSP transactions, co-sell mechanics, and the tooling and automated reconciliation that keep marketplace bookings tied out across the marketplace, Salesforce, and billing. - Operationalize commercial review. Encode approval rules and guardrails in the system so routine deals route themselves, and escalate the structures that break the system rather than quietly processing them. - Build the transaction path for new products and acquisitions. Stand up order management, quoting, and the marketplace path for new offerings and newly acquired products, test the flow through to booking before go-live, and be ready to transact on day one. - Own the integrity of the commercial record. Products, SKUs, pricing, contract terms, and booking attributes in Salesforce, with the controls and monitoring that keep them clean – the forecast and revenue reporting downstream depend on it. - Instrument and report on the system you own. Cycle time, touch count, SLA attainment, exception and discount volumes, error and rework rates. Use the data to decide what gets built next. WHAT YOU BRING ALONG - 6+ years in commercial operations, deal desk, order management, sales operations, or revenue operations, including time owning a high-volume transactional process. - A track record of building, not just running. You have replaced a manual process with a designed one and can point to the automation, the controls, and the measured result. - Hands-on depth in Salesforce and Salesforce CPQ. You write requirements, design quoting and approval logic, configure and test it yourself, and can tell a configuration problem from a process problem. - Technical range beyond the admin console: flows and validation logic, API-based and marketplace integrations, and scripting or SQL to reconcile and investigate data at volume. You can partner with Revenue Engineering as a peer on design. - Experience with usage-based or consumption-based contracts: metering, commits, overages, contract structure, and the downstream billing and revenue recognition implications. - Experience operating across a shared quote-to-cash process. You know where order management ends and Accounting begins, and you design the handoff so neither side is cleaning up after the other. - Marketplace operations experience with AWS, GCP, or Azure – private offers, CSP transactions, and reconciliation – strongly preferred. - Process-engineering instincts. You instrument before you optimize, design for the standard case and route the exception, and measure by throughput and error rate rather than activity. - A bias toward field experience. You have made a transactional process materially faster or simpler for a sales team and can describe how you knew it worked. - Comfort partnering with Accounting, Finance, and Legal on order form and contract mechanics. - Sound judgment under deal pressure. You can hold the line on a structure that breaks the system, and advocate for the field when the exception is justified. - Clear written and verbal communication. You can explain a commercial rule to a rep in one paragraph and brief leadership on what's at risk at quarter-end. - Experience managing or mentoring analysts a plus; this role is expected to grow a team as volume scales. - Bachelor's degree, quantitative or technical field preferred. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to sit close to the decisions, deliver real impact, and be pushed to be the best version of themselves. As Chief of Staff, you will report to the CRO and act as their extension across the Revenue organization. You will run the operating rhythm that keeps a fast-growing revenue team aligned, make sure the commitments made in leadership rooms turn into finished work, and take on the projects that do not have an obvious owner. The role is hands-on: you will chase deliverables, build the tracker, prepare the deck, and follow the thread until it is closed. In return you get a front-row seat to how a revenue organization is run at scale and a direct line to the people running it. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you'll do Run the CRO's weekly operating cadence: track commitments and deliverables across the Revenue leadership team, follow up on what is late, and make sure nothing falls through Act as the CRO's extension in tracking Revenue projects and KPIs, surfacing risks early and staying on them until they are resolved Own the Revenue OKR process end to end: planning, tracking, and execution across every Revenue team, and reporting progress to the CRO and the executive team Coordinate budget and headcount requests for the Revenue organization, from business case through approval with Finance and People Lead cross-functional projects on the CRO's behalf, coordinating with Product, Marketing, Finance, People, and Legal, and manage them through to completion Work directly with the CRO on high-visibility initiatives for the business What we're looking for 4+ years of experience in a strategic problem-solving role; prior experience in management consulting, investment banking, or an early-stage startup environment A strong ability to break down unstructured problems into their component parts, recommend solutions, and work with cross-functional stakeholders to implement them A combination of high ownership mentality and detail orientation that has resulted in a track record of delivering operational initiatives Strong analytical skills and the ability to synthesize insights from complex data Interest and/or experience working in healthcare, with a mission to improve the U.S. healthcare system A desire to do work that matters, and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $215,000 - $250,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote, Germany MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, entrepreneurial Commercial Account Executive to own new and expansion opportunities across commercial and mid-market accounts. You will manage the full sales cycle, from account prioritization and pipeline creation through discovery, technical validation, quantified value, pricing, negotiation, close, and expansion. This is a full-cycle technical selling role, not a high-volume transactional one. You will keep the discipline in discovery, validation, and value that technical buyers expect. What You Will Do Prospect, qualify, and close new business across commercial and mid-market accounts. Build and manage a healthy pipeline using direct outreach and the product, Marketing, BDR, partner, and customer signals available to you. You are accountable for pipeline quality and progression. Lead opportunities from first meeting through technical validation, security and procurement, pricing, negotiation, and close. Communicate MinIO's value to technical and business stakeholders, tying architecture to measurable customer outcomes. Expand and retain assigned customers by identifying new workloads, capacity, use cases, and business units, and hand off cleanly to post-sale teams. Use MEDDPICC or a comparable method, and keep accurate pipeline, forecasts, activity, and next steps in Salesforce. Collaborate with Field Architects, Marketing, Customer Success, Product, and partners to deliver a strong customer experience. Share what you learn in the field to help sharpen MinIO's commercial playbook as we evolve toward a hybrid product-led and sales-driven motion. Your Skills and Experience Three or more years of direct B2B SaaS or infrastructure sales experience with consistent quota achievement. Evidence of sourcing and closing new customers and managing commercial or mid-market sales velocity. Experience leading technical deals in the $50K–$300K+ range. Familiarity with cloud-native technology, data infrastructure, object storage, AI/ML, lakehouse, analytics, HPC, or adjacent platforms. Credibility with VPs of Infrastructure, Engineering leaders, Enterprise Architects, and related technical buyers. A metrics-based approach to pipeline creation, qualification, value selling, forecasting, and negotiation. Experience expanding accounts through cross-sell, upsell, and measurable customer value. Comfort in an early-stage or growth-stage environment and strong cross-functional collaboration. Object-storage, S3, or cloud-native experience. Experience in a hybrid product-led and sales-driven motion. Familiarity with Salesloft, Outreach, or LinkedIn Sales Navigator. MEDDPICC, Force Management, or Challenger training. Partner co-sell experience. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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. 🚀 We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver.   Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly.   You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem.   You'll also run an AI-native team. We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations. RESPONSIBILITIES - Lead and develop a product engineering team. Own hiring, onboarding, mentorship, performance, and career growth, and build a team where expectations are clear and feedback is direct. - Own delivery from planning through release and follow-through. Break work into clear milestones, manage dependencies, surface risks early, and make realistic commitments. - Set priorities with product, design, and engineering leadership. Connect engineering work to customer needs and business outcomes, and make deliberate trade-offs between new features, reliability, and technical debt. - Lead from the front technically. Stay close to the codebase: review PRs, dig into production issues, write code and prototypes when it unblocks the team, and know your systems well enough to spot risk before it ships. - Drive architecture and implementation decisions with your technical leads and senior engineers. Bring real depth to design discussions, challenge assumptions with specifics, and make the call when the team is stuck. - Run an AI-native team. Use AI tools and agentic workflows to improve planning, development, testing, triage, and reporting, while maintaining clear ownership and human review where it matters. - Uphold a high engineering bar across design and code review, automated testing, performance, security, and maintainability. Build quality into delivery rather than treating it as a final checkpoint. - Own the operational health of your team's product area. Establish appropriate monitoring, safe rollout practices, incident response, and on-call ownership, and turn production issues into lasting improvements. - Collaborate across product teams and shared platform teams to resolve dependencies and deliver coherent customer experiences. - Keep priorities, progress, risks, and decisions visible. Use evidence to improve team execution and product outcomes, rather than optimizing for activity counts. REQUIREMENTS - 6+ years of professional software engineering experience building production software, including substantial time as a hands-on senior engineer, with 2+ years managing an engineering team. - You still code. You're comfortable working in a modern production codebase (TypeScript, Node.js, React, or similar), reviewing PRs with substance, and debugging across the stack. - A track record of delivering customer-facing SaaS products or services, with ownership extending beyond launch to reliability, maintenance, and customer outcomes. - Experience hiring, coaching, and developing engineers, including giving direct feedback, managing performance, and supporting career growth. - Deep technical judgment. You can lead architecture discussions, evaluate trade-offs from first-hand experience, and hold a high engineering bar because you know what good looks like in the code. - Experience partnering closely with product and design to define priorities, scope work, and deliver against clear milestones. - A demonstrated ability to use AI tools and agentic workflows to improve engineering work and reduce manual coordination, with attention to correctness, security, and review. - Comfort working through ambiguity, learning unfamiliar product areas, and making decisions with incomplete information. - Clear communication and effective cross-functional collaboration. You make ownership, trade-offs, risks, and next steps easy to understand. - Daily fluency with AI tools in your own workflow. PREFERRED QUALIFICATIONS - Recent, meaningful code contributions as a manager: features, fixes, tooling, or prototypes you shipped yourself. - Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines. - Experience building and operating software at scale, including performance, reliability, safe migrations, and incident management. - Experience in a fast-moving product organization, balancing customer-facing delivery with platform improvements and technical debt. - Experience introducing AI-native or agent-driven workflows to an engineering team, with measurable improvements in quality or execution. - Experience building collaboration, productivity, or workflow software, or products used by both individual users and enterprise customers. - Experience leading distributed teams across time zones. 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: Haverhill, United States Location: Haverhill, Massachusetts Shift Options: 3:00 PM – 11:00 PM → Monday–Saturday Pay: $15.50/hr Join our client’s team as a Mixer ! We’re looking for dependable, hardworking individuals to operate industrial machinery, blend materials, and ensure top-quality output in a fast-paced, cold environment. English or Spanish speakers are welcome! What You’ll Do: Operate and monitor blending/mixing machines Accurately measure and combine ingredients Inspect, troubleshoot, and maintain production standards Set up, calibrate, and clean machines at the beginning of shifts Follow strict sanitation and safety protocols What We’re Looking For: Ability to lift 50+ lbs regularly Comfortable standing for the full shift Apply today — we’re scheduling interviews now! Salary: $15.50+ / hour

Location: New York City ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our new New York office. ABOUT THE ROLE We're looking for a Revenue Operations Lead to own the systems, data, and rhythm behind Peec's global revenue engine. We've grown from $0 to $15M ARR in 18 months on a motion that combines product-led signups with a fast-scaling sales team across Berlin and New York, and the operational layer now needs a single owner: one source of truth in the CRM, a forecast leadership can trust across both regions, and automation that lets a lean GTM team punch far above its weight. You'll report to our CRO and own revenue operations globally from our New York office, working daily with sales leadership in both regions and partnering closely with Growth and Finance. In your first quarter you'll take over the global HubSpot instance, stand up a forecasting cadence that covers North America and EMEA, and ship the funnel reporting that shows us where deals are won, stall, and die. This is a builder role with real ownership: the systems you design become how Peec sells. WHAT YOU'LL OWN - How the revenue team works: territories, account ownership, lead routing and attribution. For example, deciding when an account belongs to a rep and when it goes back to the pool, then making the CRM enforce it - Reporting: pipeline, forecast and numbers per rep. For example, an outbound pipeline number the sales team can be measured and paid on, without arguments - Comp and commissions: plans set up in the tooling, monthly runs that match the CRM, and clear answers for reps - Quote-to-cash: offer, signature, billing and the handover to Customer Success - Data model: one source of truth across CRM, billing and product - Tools and roadmap: you choose, run and simplify the revenue tools, and keep a roadmap with owners and dates - Launch discipline: every change ships with a clear rule, a test, an owner and communication to the people it affects WHAT WE'RE LOOKING FOR - You've built or led a RevOps function at a fast-growing B2B SaaS company, ideally with both self-serve and sales-led motions, and can teach us how it's done - You've owned a function, not just worked through a backlog - Deep, hands-on HubSpot: workflows, data model, reporting, and you still build things yourself - Strong project management: you turn a loose brief into a plan, bring the right people together and deliver - Commercial judgment: you understand the sales problem behind a request, not just the ticket - Comfortable with data: SQL or a BI tool, plus a working understanding of APIs and automations - Based in New York, or ready to relocate, and excited to be in the office five days a week HOW YOU WORK - You finish what you start, without being chased - High rigor: you check your own work, especially AI-assisted work, and say what you're unsure about - You propose rather than ask: you find answers yourself and bring structure instead of waiting for it - You raise problems early, before others find them - You close loops: a short weekly written update, and every missed deadline gets a new date or is dropped with a reason - You stand behind your numbers: you present to leadership and finance yourself and can explain every figure - You build relationships with sales leaders, CX and finance unprompted - You take fast feedback well and act on it BONUS POINTS - Experience building a RevOps function from scratch, or owning a remit that spans regions - Experience working across time zones with a European HQ - Exposure to PLG funnels and product usage data in a sales-assist motion - Familiarity with Stripe, billing, or CPQ workflows and deal desk operations - SQL skills for pulling your own answers out of the data WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT: Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION: The salary range for this position is $150,000 to $240,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our new New York office. ABOUT THE ROLE We're looking for a Revenue Operations Lead to own the systems, data, and rhythm behind Peec's global revenue engine. We've grown from $0 to $15M ARR in 18 months on a motion that combines product-led signups with a fast-scaling sales team across Berlin and New York, and the operational layer now needs a single owner: one source of truth in the CRM, a forecast leadership can trust across both regions, and automation that lets a lean GTM team punch far above its weight. You'll report to our CRO and own revenue operations globally from our Berlin HQ, working daily with sales leadership in both regions and partnering closely with Growth and Finance. In your first quarter you'll take over the global HubSpot instance, stand up a forecasting cadence that covers North America and EMEA, and ship the funnel reporting that shows us where deals are won, stall, and die. This is a builder role with real ownership: the systems you design become how Peec sells. WHAT YOU’LL OWN - How the revenue team works: territories, account ownership, lead routing and attribution. For example, deciding when an account belongs to a rep and when it goes back to the pool, then making the CRM enforce it - Reporting: pipeline, forecast and numbers per rep. For example, an outbound pipeline number the sales team can be measured and paid on, without arguments - Comp and commissions: plans set up in the tooling, monthly runs that match the CRM, and clear answers for reps - Quote-to-cash: offer, signature, billing and the handover to Customer Success - Data model: one source of truth across CRM, billing and product - Tools and roadmap: you choose, run and simplify the revenue tools, and keep a roadmap with owners and dates - Launch discipline: every change ships with a clear rule, a test, an owner and communication to the people it affects WHAT WE’RE LOOKING FOR - You’ve built or led a RevOps function at a fast-growing B2B SaaS company, ideally with both self-serve and sales-led motions, and can teach us how it’s done - You’ve owned a function, not just worked through a backlog - Deep, hands-on HubSpot: workflows, data model, reporting, and you still build things yourself - Strong project management: you turn a loose brief into a plan, bring the right people together and deliver - Commercial judgment: you understand the sales problem behind a request, not just the ticket - Comfortable with data: SQL or a BI tool, plus a working understanding of APIs and automations - Based in Berlin, or ready to relocate, and excited to be in the office five days a week HOW YOU WORK - You finish what you start, without being chased - High rigor: you check your own work, especially AI-assisted work, and say what you’re unsure about - You propose rather than ask: you find answers yourself and bring structure instead of waiting for it - You raise problems early, before others find them - You close loops: a short weekly written update, and every missed deadline gets a new date or is dropped with a reason - You stand behind your numbers: you present to leadership and finance yourself and can explain every figure - You build relationships with sales leaders, CX and finance unprompted - You take fast feedback well and act on it BONUS POINTS - Experience building a RevOps function from scratch, or owning a remit that spans regions - Exposure to PLG funnels and product usage data in a sales-assist motion - Familiarity with Stripe, billing, or CPQ workflows and deal desk operations - SQL skills for pulling your own answers out of the data WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category - Regular team events and off-sites - Paid meal & Uber home when working late

Location: New York Office Enterprise Account Executive, Financial Institutions Our Account Executives are trusted advisors to banks, credit unions, payment processors, and fintechs. You’ll sell compliance, investigations, fraud and security solutions that help institutions detect, investigate, and report existing crypto-exposed risk while safely opening up new business lines as a part of their cryptocurrency strategy.   Account Executives are experienced in both new business creation and account management, and are market specialists. They establish trust and build strong customer relationships within their target market, tailoring their sales approach to their needs, and evangelizing Chainalysis solutions in a compelling yet approachable way. We measure success by the attainment of assigned quota, new logos, and the growth of accounts within the region. They are experts at navigating complex sales cycles and enjoy the thrill of creating territory and strategic account plans that lead to closing a deal.   We are looking for a Enterprise Account Executive, Financial Institutions seller for our North America Private Sector team.   In This Role, You'll - Exceed your quota and substantially increase our foothold in the Financial Services markets within North America Private Sector through prospecting and developing your sales pipeline, as well as expanding existing accounts - Build relationships with customers based on trust and transparency resulting in network referrals that ultimately build Chainalysis’ brand awareness - Create and execute go-to-market plans that result in predictable and increasing quarterly forecasts - Build a diverse pipeline of opportunities resulting in consistent and accurate forecasting - Help us develop compelling product positioning and messaging specific to market trends, competitive drivers, region-specific sales channels, and more - Have relationships across departments at Chainalysis allowing you to provide expert advice to prospects related to technical concepts, product roadmaps, solutions implementations, training, and craft compelling customer proposals. We're Looking For Candidates Who Have   - A passion for cryptocurrency and blockchain technology, and the potential to disrupt the financial services industry - 5+ years of B2B SaaS sales experience selling into Financial Institutions - Experience selling solutions related to risk & compliance, data analytics, financial crimes, fraud or data security - An articulate, enthusiastic, and effective communicator who can convey complex concepts in an approachable and concise way up to the CXO level - Strong understanding of financial services industry dynamics and buying process - Excellent communication skills to present Chainalysis at executive level and conference presentations - A great track record in new business development and market creation - The ability to bridge technology to a customer’s desired business outcomes - A desire to excel in a dynamic startup environment - A solid track record of over-achieving quota in in a consultative sales environment - The ability to travel to customers and events across North America. Nice To Have Experience   - Familiarity with AML regulations and the evolving crypto-compliance landscape - You don’t have to be a blockchain expert, but you’re insatiably curious and willing to learn - You exceeded your quota and continue to increased our foothold in our North American TradFi accounts through strategic and relentless prospecting and developing your sales pipeline as well as expanding existing accounts - You’ve helped us develop compelling product positioning and messaging specific to market trends, competitive drivers, region-specific sales channels, and more - Your relationships with customers are built on trust and transparency resulting in network referrals that ultimately build Chainalysis’ brand awareness - You’ve built a diverse pipeline of opportunities resulting in consistent and accurate forecasting - You’ve consistently used data from sales figures, marketing campaigns, and promotional activities to enable you to meet and exceed sales goals - Product and Engineering teams rely on your advice and input to inform new product features and solutions - You have relationships across departments at Chainalysis allowing you to provide expert advice to prospects related to technical concepts, product roadmaps, solutions implementations, training, and craft appropriate customer proposals A Background Like This Helps - Demonstrated history in a previous full-cycle B2B SaaS Sales position - 8 -10+ years of sales experience in the financial services industry and the regulatory technology space preferred - Previous experience working in a fast paced & growing startup environment - You’re an articulate, enthusiastic, and effective communicator who can convey complex concepts in an approachable and concise way - You don’t have to be a cryptocurrency expert, but you’re insatiably curious and willing to learn - You’re willing to travel as needed Total Compensation: • Base Salary Range: $150,000-$185,000 • Offers Commission: 50/50 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

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 Anthropic's Claude Partner Network (CPN) Reseller track lets authorized partners sell Claude directly to end customers. These partners bring Claude into accounts that Anthropic can't reach alone, and they need marketing that helps them build a real Claude practice: campaigns they can run with their own teams, funding they can put to work, and proof that moves them up through the partner tiers. This is a foundational, first-in-seat role with wide scope. You'll be the first dedicated partner marketer for the reseller track, and you'll lead it globally. You'll set its marketing strategy, define the standards and playbooks partners run against, and build the tier-advancement path from the ground up. You'll work across regions and with a network of agency partners to deliver programs at global scale. You'll shape how reseller marketing fits into Anthropic's broader partner strategy, working with Partnerships, Commercial Operations, Channel Account Managers, Partner Operations, Customer Marketing, and Communications to make sure reseller activity and Anthropic's direct sales point in the same direction. You'll also set the bar for the marketers who join the practice as it grows. Key responsibilities Set the marketing strategy for the reseller track, including priorities, investment choices, and quarterly and annual plans that connect partner activity to registered pipeline and reseller revenue Define the reseller marketing playbook and co-marketing standards, and keep them current as the program launches and expands Represent the partner marketing perspective in program design, working with Partnerships, Commercial Operations, and Legal on how benefits, MDF, and tier criteria will work in practice Build joint marketing plan templates for reseller partners, including campaign calendars and success metrics Source, select, and manage the agency partners that support reseller programs globally, including scope, budgets, quality standards, and performance reviews, and build a regional roster that can scale as the program expands Run partner-led campaigns with those agencies, using co-branded and localized kits for each market, and help partners adapt them for their own buyers Own partner marketing funds (MDF) end to end: help partners build proposals, track approvals and documentation, and connect every funded activity to registered pipeline Help partners reach their next tier by planning the customer stories, certification pushes, and public proof points each tier requires, on a timeline that fits the January and July tier reviews Turn partner wins into customer stories with Customer Marketing, from interview through partner and Anthropic approvals Coordinate joint announcements and press with Anthropic Communications, managing review timelines and holding partner copy to Anthropic's messaging and brand standards Partner with Channel Account Managers and the field on audience and account targeting, so reseller campaigns extend Anthropic’s reach into new customers and partner and direct motions reinforce each other Define how reseller marketing success is measured: set targets and KPIs for pipeline, reseller revenue, and campaign ROI, build the reporting, and use results to decide where to invest and what to change Report on partner-sourced pipeline and reseller revenue influence, with 30/60/90-day tracking on every activation Keep reseller partners informed through the CPN monthly broadcast and newsletter, and bring partner needs and results back into program planning Minimum qualifications Have owned marketing strategy for a partner or channel program, setting priorities and investment decisions rather than only executing against them Have built and run co-marketing programs with channel, reseller, or distribution partners, including partner-funded budgets (MDF, co-op, or similar) and ROI reporting Have sourced and managed agencies or contractors across multiple regions, including scoping work, managing budgets, and holding quality standards Have run marketing programs across multiple international markets Understand indirect sales motions, including how partners find, register, and close deals, and can write marketing that reaches partner sellers as well as end customers Can build joint plans and value propositions that articulate clear business outcomes for customers Have defined success measures for a partner or channel program and used the results to change investment decisions Are skilled at tracking program performance in a CRM or equivalent system, and can turn that data into clear recommendations Write clearly and precisely, and can hold partner-produced copy to brand and approval standards Build trusted relationships with partner marketing and sales teams, and can move priorities forward with partners you don't manage Can make and defend decisions with incomplete data, and know when to escalate Are highly organized and can run several partner plans at once without dropping quality Are comfortable building new processes from scratch, in an environment where the playbook is still being written Take ownership of outcomes and step in wherever the work needs you Care about the societal impacts of AI and are excited about enabling organizations to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Have launched or scaled a partner program from its early stages, including tier design, benefits, and promotion criteria Have produced partner-led customer stories, including managing approvals and public announcement timelines Have experience with cloud marketplace reseller motions, such as private offers or co-sell programs Have localized marketing content and campaigns for multiple international markets Have established relationships with resellers, distributors, or systems integrators Have experience with partner relationship management tools and Salesforce partner data Understand enterprise AI use cases across industries and functions Have set standards for or mentored other marketers, formally or informally Have used Claude or other AI tools to scale their own marketing work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers 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: Stamford, Connecticut, United States About the Role iCapital is seeking a detail-oriented and technically capable Associate to join the Data Feed Operations team within Data Solutions. This role sits at the intersection of investment operations, data analysis, and technical data management, with a focus on supporting the quality and reliability of post-trade investment data. This hands-on, highly collaborative role partners across technical and business teams to solve complex data challenges and support scalable data operations within a fast-moving financial technology environment. Responsibilities Monitor inbound and outbound data feeds, APIs, file-based integrations, processing results, validations, deliveries, and service exceptions. Reconcile investment positions, transactions, valuations, cash activity, and related reporting data across source systems and downstream outputs. Investigate data-quality exceptions and feed breaks, determine root cause, document findings, and coordinate remediation with internal and external partners. Certify the completeness and accuracy of reporting data before publication, migration acceptance, or client and partner delivery. Use SQL to analyze relational data, validate populations, trace lineage, identify anomalies, and produce repeatable reconciliation evidence. Use analytical and automation tools to develop controls, transform and compare data sets, reduce manual analysis, and support scalable monitoring and reconciliation workflows. Document feed specifications, source-to-target mappings, business rules, procedures, controls, issue histories, and certification evidence. Translate operational issues and recurring break patterns into actionable requirements for the Product and Engineering teams. Participate in testing and certification for new feeds, feed changes and platform migrations. Provide clear status updates and respond to client, partner, and internal stakeholder questions regarding feed health, data quality, and issue resolution. Help define and track operational measures such as feed timeliness, successful delivery, break recurrence, resolution time, certification status, and data adoption. Qualifications 3-5 years of relevant experience in data operations, investment operations, data analysis, financial technology, performance reporting, fund administration, or in a related field Advanced SQL skills and experience analyzing data in relational databases, including cloud data platforms such as Snowflake or PostgreSQL Experience working with APIs, file-based integrations, external data-provider workflows, ETL or ELT processes, data pipelines, or orchestration workflows Experience monitoring data feeds, investigating exceptions, reconciling data, and documenting mappings or business rules Experience with investment positions, transactions, valuations, capital activity, partner capital account data, or general-ledger data Working knowledge of alternative investments, private markets, wealth management, investment performance reporting, or fund accounting Python experience for data analysis, validation, automation, or reconciliation Experience supporting data migrations, source-system conversions, or implementation testing in a controlled production environment Strong analytical judgment and a structured approach to root-cause analysis and problem solving Excellent attention to detail, with the ability to manage multiple priorities in a fast-paced environment Strong written and verbal communication skills, with the ability to work effectively across business and technical teams, take ownership of issues through resolution, and contribute as a collaborative team member Benefits The base salary range for this role is $75,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHAT YOU'LL DO. - Prospect outbound: research target utilities and contractors, build account lists, and reach decision-makers by phone, email, and LinkedIn.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works. We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. This role sits at the heart of that shift: how a developer discovers Render, achieves their first success, and becomes a paying customer whose bill makes sense to them. That journey spans onboarding and activation, billing, payments, and pricing — the moments where trust is won or lost and where good design directly moves the business. Because the journey crosses the whole product, you won’t be siloed on a single team; you’ll work across the groups that own these surfaces — product, billing, and more — following the work wherever it leads. This is a craft-focused IC role built for speed, scale, and variety. You won’t polish one screen for a month; you’ll ship a lot, learn fast, and raise the bar across a wide surface. The craft bar is high — this is still Render, where details matter — but here it’s expressed through velocity: designs that ship, get measured, and compound. You’ll move between a pricing page, an upgrade flow, an onboarding step, and a billing surface in the same week, and hold all of them to the same standard. What makes this work hard and interesting: these surfaces are deceptively high-stakes. A confusing bill erodes trust as fast as a failed deploy. A pricing page that misleads costs real money and goodwill. Payments and billing are where correctness, clarity, and edge-case rigor matter as much as polish — and where “the unglamorous flow” is the product. You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love fast, measurable work, hold a high bar under velocity, and want your design decisions grounded in what real users do — not just what looks good in Figma or an AI prototype. YOU WILL: Design the journey from first touch to paying customer as one connected system. Onboarding, activation, upgrade, and billing aren’t separate surfaces; they’re one path a developer walks. You’ll design them to feel coherent, so the moment someone decides to pay is the natural next step, not a cliff. Own billing, payments, and pricing as craft surfaces. Plans, usage, invoices, upgrade and downgrade flows, payment methods, dunning, and the pricing page itself. This is where clarity and correctness are the whole game — a developer should always understand what they’re paying for and why, and never be surprised. You’ll bring real rigor to the edge cases (failed charges, proration, usage spikes) that make or break trust. Design a first-run and activation experience worth recommending. The path from signup to first successful deploy — and from first deploy to habit — is where growth starts. You’ll design it so that a developer’s first ten minutes make them want to tell someone, and so the steps that drive activation are clear, fast, and friendly. Run on validation and experimentation together. You’ll put work in front of real users — testing, interviews, quick validation — and ship experiments to learn what actually moves activation, conversion, and retention. You’re fluent in both: you know when a question needs a user session and when it needs an A/B test, and you treat shipped data as how design decisions get earned, not decoration. Move fast across a wide surface. This role trades depth-on-one-thing for range: you’ll prioritize ruthlessly, ship in small confident increments, and know which details matter now and which can wait. Speed is a feature here. Partner across the company. Growth design lives at the intersection of product, engineering, data, marketing, and finance. You’ll communicate clearly and often, align fast-moving stakeholders, and make the case for the user inside business conversations about pricing and revenue. Contribute to where Growth goes next. Alongside the shipping work, you’ll bring a point of view and concept explorations to the team’s design-led discovery track, through our weekly critique cadence. WE’RE LOOKING FOR: 5+ years of relevant experience, including real work designing for developers or technical users. You’ve designed products for software engineers, not just adjacent to them — in developer tools, cloud infrastructure, APIs, or another technical product — ideally paired with growth, billing, or payments depth. We care more about your impact than your title, but designing for a technical audience isn’t optional here. Exceptional taste and craft at speed. You have an eye for detail that borders on obsessive, and you can bring it to work that ships fast. You know how to hold a high bar without over-polishing, and you’ve shipped work that other practitioners admire. Fluency in both validation and experimentation. You’re comfortable running user testing and interviews and designing and reading experiments. You know which question each one answers, and you let real user behavior — not just instinct — shape your work. Rigor with complex, high-stakes flows. Billing, payments, and pricing reward people who sweat the edge cases. You design for the failed charge, the plan change mid-cycle, the confusing invoice — not just the happy path. You believe a clear bill is as much a design artifact as a beautiful dashboard. Strong information architecture. You can take a tangle of plans, usage, and states and make it feel like one obvious thing. You design the whole journey, not a screen at a time. Your portfolio shows a user journey that’s coherent from first touch through activation to paying — not a set of polished screens that don’t add up. Fluent in how developers think and get billed. You design for a technical user’s real mental model — services, deploys, and how developers actually work. Bonus if you understand usage-based, resource-metered billing for developer tools: compute plans, CPU/memory instance types (e.g., 1c-2g), usage metering, and how pricing maps to the underlying infrastructure. You don’t need to have built a cloud platform, but you’re curious enough to get into the weeds. Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait. Clear, direct communication and a genuinely collaborative way of working with product, engineering, data, and finance partners — including sharing a problem space with another designer without needing hard fences between you. NICE-TO-HAVES: - Experience designing billing, payments, subscriptions, checkout, or pricing surfaces where correctness and clarity are high-stakes. - A track record of growth wins you can point to: activation, conversion, or retention you measurably moved. - Comfort with experimentation, tooling, and reading data yourself, rather than waiting on a handoff. - Design-engineering literacy: comfort near code, motion, or prototyping, and curiosity about AI-assisted design. - Writing, talks, or side projects that demonstrate your craft and point of view. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. 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. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Serve as the CEO's financial thought partner on growth strategy, investment priorities, resource allocation, and profitability. Drive capital allocation decisions across the executive team — where Engine invests people, capital, and resources, and where we make tradeoffs.

Location: San Francisco; Remote; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE Build the systems that turn blockchain activity into data developers can use. Alchemy’s Data Services work includes token, portfolio, and transfer APIs, with streaming in the updated roadmap. You will own backend projects from ingestion through serving, making data correct, fresh, and fast to query. You will work with Product and customer-facing teams to understand what developers need, then ship improvements and measure their effect on reliability, performance, and cost. WHAT YOU WILL DO - Build and operate blockchain ingestion, indexing, storage, and API-serving systems. - Handle reorganizations, retries, duplicate events, and historical backfills without silently losing or corrupting data. - Improve query performance and data freshness. Make those properties observable to the team and understandable to customers. - Extend API capabilities and chain coverage, with tests for differences in chain behavior and data semantics. - Develop streaming and event-delivery capabilities with explicit guarantees for ordering, replay, and failure recovery. - Reduce the cost of storing, processing, and serving data through measured changes to architecture and query execution. - Participate in production support and incident response for the systems you own. Maintain monitoring, runbooks, safe rollouts, and fixes that prevent recurrence. WHAT WE ARE LOOKING FOR - A track record of independently designing, shipping, and operating production backend or distributed data systems. - Strong programming skills in a production backend language, plus experience with databases, indexing, and query performance. - Experience reasoning about consistency, partitioning, asynchronous processing, and failure recovery. - Evidence that you can diagnose a production problem and improve the system beyond the immediate fix. - Sound API design judgment, including compatibility, pagination, error handling, and data contracts. - Clear communication and the ability to turn an ambiguous customer problem into a scoped engineering project. Blockchain experience is helpful, but not required. You should be interested in learning how chain behavior affects data correctness. HELPFUL EXPERIENCE - ClickHouse or other analytical databases; Kafka or similar streaming systems. - Blockchain indexers, EVM logs and traces, finality, or non-EVM data models. - Developer-facing data APIs, real-time delivery, or large historical datasets. - Storage migrations and performance or cost optimization under production traffic. WHAT SUCCESS LOOKS LIKE Within three months: - You have shipped a customer-facing improvement and can show its effect on data quality, freshness, latency, or cost. - You own a production component, have tested its recovery behavior, and have proposed the next improvement using operational evidence and developer feedback. Benefits & Perks 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk. You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle. What you'll do Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration. Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value. Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step. Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk. Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning. Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage. Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment. Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers. What you'll bring Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption. Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery. Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery. An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale. Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows. Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions. Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail. About the team Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product. We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers. As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .