Location: Remote, France
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 a Strategic Account Executive, you'll own a portfolio of strategic and large customers and prospects in France, helping them get the most value from GitLab's AI-powered platform for software development, security, and operations (DevSecOps). You'll win new enterprise accounts and expand GitLab's footprint within existing customers, using a consultative approach to understand their business needs and guide successful adoption and expansion. You'll work closely with pre- and post-sales teams and strategic channel partners throughout the sales cycle, from prospecting and qualification through rollout, usage, and long-term growth.
What you'll do
Own a portfolio of strategic and enterprise accounts, driving both new customer acquisition and expansion within existing customers.
Lead complex sales cycles from prospecting and qualification through negotiation and close, using a consultative approach grounded in customer business needs.
Develop and execute structured account plans that map customer priorities to GitLab's DevSecOps and AI-powered platform capabilities.
Collaborate closely with pre-sales, customer success, support, and strategic channel partners to ensure successful evaluations, rollouts, and long-term adoption of GitLab.
Generate and nurture qualified pipeline through targeted outreach, joint activities with channel partners, and effective use of existing relationships.
Prepare and maintain accurate activity, pipeline, and forecast reports, and contribute to win/loss analysis to improve sales execution.
Partner with Marketing to shape and execute account-based and regional campaigns that support pipeline generation and expansion in your territory.
What you'll bring
Experience owning and growing large, complex accounts within strategic or enterprise organizations, including both new business development and expansion within existing customers.
Ability to run a consultative sales process, from prospecting and discovery through proposal, negotiation, and closing.
Skill in account planning, forecast management, and coordinating cross-functional resources across pre-sales, post-sales, and support.
Ability to translate customer needs into clear feedback for product, marketing, and technical teams.
Ability to discuss business value with senior stakeholders and align solutions to customer goals and challenges.
Familiarity with Git, software development tools, or application lifecycle management, and the ability to learn GitLab's platform.
Experience within software, developer tools, or related technology environments is helpful but not required.
We welcome transferable experience from different industries or backgrounds.
About the team
You'll join a regional Strategic Sales team that focuses on our largest and most complex customers in Europe. We own a defined list of strategic prospect and existing accounts and collaborate closely with Solutions Architects, Customer Success, Support, and Channel partners to drive both new customer acquisition and expansion of GitLab's footprint. Our Strategic Sales team spends a lot of time collaborating and meeting with customers, so travel will be expected. We're focused on helping enterprise customers adopt the GitLab DevSecOps platform at scale, navigating complex buying groups, and shaping long-term partnerships that support customers' business and technology goals.
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
.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Chief Financial Officer
Location: Remote US
Compensation Range: $280,000 to $340,000 base plus bonus and equity
What You’ll Do:
You will lead the financial perspective behind the decisions that shape a high-growth business. As a key partner to the CFO and the Executive Team, you will own near- and long-term strategic planning, turn the drivers of growth, efficiency, and cash into clear recommendations, and help shape the company's financial narrative. You bring the rigor of a strong analyst, the clarity of a storyteller, and the judgment to know when a sharper answer will change the outcome and when it will only slow the team down. Perfect imperfection shows up in how you improve the planning model without overengineering it. Give a $h*t means you take ownership of the FP&A operating layer, including sales compensation, and make it stronger.
You will build trusted partnerships with GTM, Product, and functional leaders, turning data into insight that non-finance teams understand and act on. Give More Than We Take means your analysis makes other teams better. Candor means you surface hard truths early and challenge respected leaders with evidence and care. You will build and develop a high-performing team and modernize how we plan and forecast with AI, with the controls that keep our numbers trustworthy. You bring Warrior Spirit when forecasts miss or conditions change, and you stay Outcome-Obsessed by measuring success through better decisions, stronger planning discipline, and a finance function that scales.
Responsibilities:
Own strategic financial planning both near and long term. Identify the drivers of growth, efficiency, and cash, and turn them into recommendations the Executive Team can act upon.
Serve as a key voice to the Executive Team. Shape the company's financial narrative across reporting, investor relations, and fundraising, and act as a close partner to the CFO.
Partner with GTM, Product, and functional leaders to turn data into insights non-finance leaders understand and act on, and to challenge them with evidence when needed.
Lead scenario modeling, sensitivity analysis, and investment cases for major decisions. Apply the right depth to each: go deep when precision changes the answer and move fast when it doesn't.
Build and scale the FP&A team and operating model, including talent development, succession readiness, governance, and controls. Keep what works and redesign what doesn't.
Redesign forecasting, planning, variance, and reporting workflows with AI, with controls that validate outputs and protect confidential data.
Oversee sales compensation administration so incentive plans align with company goals and are executed accurately.
What You Bring To The Team:
15+ years of progressive FP&A or Strategic Finance leadership in high-growth SaaS, including building and scaling multi-level teams.
Analytical storyteller: a track record of turning complex financials into a clear narrative for executives, boards, and non-finance stakeholders.
Trusted influencer: you build relationships across the organization, give candid input, and challenge senior leaders with evidence and care.
Talent builder: you develop leaders, not just analysts, and have built engaged, high-performing teams.
Sound judgment in ambiguous, fast-changing environments, with a bias for finding and implementing improvements.
Strong command of enterprise planning systems, BI/visualization tools, and AI-enabled workflows, applied with verification, confidentiality, and control.
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Ramat Gan, Israel
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Wolt is a Helsinki-born technology company founded in 2014, with a mission to make cities better by empowering and growing local communities. We do this by making the daily lives of our customers easier, giving local restaurants and stores new ways to reach customers and grow their business, and offering flexible earning opportunities to courier partners.
Wolt joined forces with DoorDash in 2022. Together, the two companies now operate a local commerce platform across more than 40 countries, combining DoorDash's technology and scale with Wolt's operational excellence across Europe, the Middle East, and Central Asia.
Israel is one of Wolt's most established and strategically important markets. As the business has grown — expanding beyond food delivery into retail, new categories such as pharmacy, and emerging mobility technologies — so has the complexity of the regulatory, legislative, and public affairs environment Wolt operates in locally. The platform economy in Israel is still relatively new and evolving quickly, which makes an active, senior public policy presence essential to the business's continued growth.
Role Summary
We are looking for a Head of Public Policy, Israel, based in our Tel Aviv office, to take full ownership of Wolt's public policy function in Israel.
You’ll be joining the DoorDash International Public Policy team, working closely with global centres of excellence, cross-functional partners, and local business leadership. This role reports to the VP, International Public Policy at DoorDash / Wolt / Deliveroo, based in Helsinki.
What You'll Be Doing
Own Wolt Israel's public policy strategy: identify, map, and prioritize the regulatory risks, legislative threats, and business opportunities that matter most, and build a plan to act on them.
Build and maintain senior relationships across government — relevant ministries, regulators, and the Knesset — to advance legislation that supports responsible growth of the platform economy and to counter legislation that would harm it, with particular focus on the future of platform work.
Engage constructively with the key regulatory authorities as Wolt continues to scale in a large, fast-growing, and still-maturing platform economy market.
Build and maintain relationships with mayors and municipal leadership to protect and strengthen Wolt's operating environment at the local level.
Identify and help unlock new business opportunities that require public policy engagement, such as expansion into regulated product categories.
Support the responsible introduction of new technologies relevant to Wolt's business as they become regulatory topics in Israel, including in the space of autonomy.
Partner closely with the Communications team so that public policy positioning and public perception are aligned.
Manage Wolt's external public policy / government relations agency and other third-party advisors.
Maintain relationships with other key stakeholders relevant to the business, including the U.S. Embassy.
Our Expectations
12+ years of public policy experience, in the public sector, private sector, or (ideally) both.
A degree in law, public policy, political science, or a related field; a master's degree is preferred but not required.
A demonstrated network and credibility with senior Israeli government officials, regulators, and Knesset members.
Direct experience with, or strong understanding of, labor and platform-economy policy issues.
Experience navigating regulatory authorities.
Comfortable operating independently at a senior level — able to set strategy and represent the company externally, but equally willing to do the hands-on work of research and writing.
Experience managing external agencies or consultants.
A legal background or degree is an advantage, though not required.
Fluent Hebrew and strong professional English, with the ability to translate Israel-specific context for a global audience.
Prior experience working within a global or matrixed corporate structure is an advantage.
Comfortable working closely with Legal, Communications, and other cross-functional teams.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We're looking for an experienced Technical Program Manager to build and run the program operating system for Figma's growing Internal AI Tooling portfolio. Reporting into the CIO PMO and embedded within the team driving this work, you'll partner closely with Product and Engineering leaders to translate an emerging roadmap into coordinated, secure, and scalable capabilities used across Figma — bringing together Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and business teams.
You'll create clarity across this system by establishing lightweight planning and governance, aligning teams around shared milestones and decisions, and ensuring initiatives move from intake through release and operational handoff with clear ownership and measurable outcomes — shaping not only what gets delivered, but also how Figma evaluates, builds, releases, and operates internal AI capabilities as the portfolio grows.
The ideal candidate can bring structure to an ambiguous, fast-moving environment without introducing unnecessary process, and can lead complex work through influence rather than direct authority.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Translate the Product Manager's roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership
Manage execution of the Internal AI Tooling roadmap across technical teams and business stakeholders
Operationalize a transparent intake and routing process so requests have a defined problem, expected business outcome, delivery path, risk profile, and accountable owner before work begins
Establish and facilitate lightweight planning and execution cadences, including program reviews, dependency reviews, decision forums, release-readiness reviews, and stakeholder updates
Maintain an integrated view of dependencies, risks, issues, assumptions, and decisions, driving timely resolution or escalation when work is blocked
Coordinate security reviews, legal and procurement milestones, data dependencies, vendor commitments, and business-system integrations so these workstreams are engaged at the appropriate stage of delivery
Ensure releases have appropriate acceptance criteria, operational ownership, support processes, runbooks, escalation paths, and feedback loops before handoff
Partner with Product and stakeholders to define measurable outcomes and provide clear reporting on delivery health, adoption readiness, operational performance, and realized impact
We'd love to hear from you if you have:
5+ years of technical program management, or technical delivery experience in a cloud, SaaS, enterprise-technology, or internal-tools environment
Demonstrated experience leading complex programs across Product, Engineering, Security, Legal, Data, Business Systems, Operations, and business stakeholders
A track record of translating product roadmaps into integrated plans, milestones, dependencies, decision points, release schedules, and measurable outcomes while maintaining clear ownership boundaries between Product, Program, and Engineering
Technical fluency with enterprise systems, APIs, integrations, data flows, platform dependencies, identity and access, and software-delivery lifecycles. You do not need to be an engineer, but you should be able to engage credibly in technical planning and tradeoff conversations
Excellent written and verbal communication, facilitation, and influencing skills, with the ability to establish lightweight governance, present concise decisions and risks, and create accountability without relying on direct authority
While it's not required, it's an added plus if you also have:
Direct experience delivering internal AI tooling, platform, or product programs in a rapidly evolving technology environment
Experience with responsible AI, model governance, security, privacy, compliance, or AI risk-management frameworks
Familiarity with enterprise SaaS, middleware, low-code or no-code automation, identity platforms, data platforms, vendor evaluation, or procurement processes
Experience with change management, enablement, enterprise adoption, Product Operations, or establishing a new program-management practice in an emerging organization
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$169,000
—
$245,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: United States
Kit Assembly Specialist
Department:
Operations / Fulfillment
Reports to:
Fulfillment Supervisor or Warehouse Manager
Employment type:
Full-time, hourly (non-exempt)
About the role
We're looking for a detail-oriented Kit Assembly Specialist to build product kits, bundles, and subscription boxes accurately and efficiently. You'll follow bills of materials and work instructions to pick, assemble, package, and label kits that ship directly to our customers or to retail partners. Accuracy and consistency are the heart of this job, since every kit you build is a customer's first impression of our brand.
Key responsibilities
Assemble kits, bundles, and gift sets according to bills of materials (BOMs), work orders, and visual standards, making sure every component is present and correctly placed.
Pick components from inventory locations and verify SKUs, quantities, lot numbers, and expiration dates before assembly.
Perform quality checks on finished kits, flagging damaged, missing, or incorrect items and resolving discrepancies with your supervisor.
Package, seal, and label completed kits using barcode scanners, label printers, and shrink-wrap or heat-seal equipment as needed.
Record completed units and component usage in the warehouse management or inventory system so stock levels stay accurate.
Keep the assembly station clean, organized, and stocked, and replenish components before they run out.
Meet daily production targets while maintaining accuracy standards.
Help with cycle counts, receiving, and other fulfillment tasks during slower periods.
Follow all safety procedures, including proper lifting technique and equipment use.
Suggest improvements to kitting layouts, workflows, or instructions that could save time or reduce errors.
Qualifications
High school diploma or GED preferred.
1+ year of experience in kitting, assembly, warehouse, fulfillment, or manufacturing (or comparable hands-on work).
Strong attention to detail and the ability to follow written and visual instructions precisely.
Basic computer skills; experience with handheld scanners or a WMS is a plus.
Ability to work at a steady pace on repetitive tasks while staying accurate.
Good communication skills and a team-player attitude.
Reliable attendance and punctuality.
Physical requirements
Stand or walk for extended periods (up to 8–10 hours per shift).
Lift and carry up to 50 lbs regularly.
Bend, reach, and perform repetitive hand movements throughout the shift.
Work in a warehouse environment that may vary in temperature and noise level.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
We’re looking for a Senior iOS Engineer to help build Ondo’s mobile experience. You’ll own features from early product discussions through release and improvement, working closely with design, product, and engineers across the stack.
Financial software asks a lot of its interface. People need to understand what they own, what an action will do, and whether it succeeded. You’ll bring strong iOS judgment to those moments: making complex flows feel clear while treating security, accessibility, performance, and reliability as core parts of the product.
What you’ll do
Build and maintain native iOS features in Swift, from architecture and implementation through App Store release.
Partner with design and product to turn complex financial workflows into clear, responsive mobile experiences.
Shape how the app handles authentication, account state, transactions, errors, and interrupted flows.
Work with backend and platform engineers to define reliable app-facing contracts.
Improve quality through thoughtful testing, observability, code review, and attention to real user behavior.
Help set technical direction for iOS and mentor other engineers through collaboration and feedback.
What you bring
A track record of shipping and improving production iOS apps with Swift.
Strong command of SwiftUI and practical experience with UIKit where it serves the product.
Sound judgment about app architecture, asynchronous work, state management, networking, and persistence.
Experience designing for security, privacy, accessibility, and performance.
The ability to take ownership of an ambiguous problem, make clear tradeoffs, and bring others along.
Care for the details users notice and the failure cases they should never have to think about.
Experience with financial products, trading, digital assets, or wallets.
Experience building apps that handle sensitive account or transaction flows.
Familiarity with release automation, analytics, and crash monitoring.
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Wholesale Inventory Analyst, Accessories & Apparel to support the growth of our wholesale A&A business. This role will help manage inventory visibility, reporting, and replenishment across wholesale accounts, while providing insights that enable better inventory and planning decisions.
You will work closely with Wholesale A&A Planning and cross-functional partners across Sales, Supply Chain, Finance, Product, and Operations. This is a great opportunity for someone early in their career who is analytical, detail-oriented, and interested in building a career in merchandise and inventory planning.
RESPONSIBILITIES:
- Own weekly sales and inventory reporting across the wholesale A&A business.
- Monitor sell-through, weeks of supply, inventory availability, and other key inventory metrics.
- Identify potential stockouts, excess inventory, and replenishment opportunities.
- Support replenishment recommendations and inventory movement across wholesale accounts.
- Analyze performance across accounts, categories, styles, and SKUs to identify trends and opportunities.
- Support seasonal planning, product launches, and ongoing forecast updates.
- Maintain reporting and planning tools that improve visibility and decision-making.
- Partner with Sales, Supply Chain, Finance, Product, and Operations to support inventory needs and resolve issues.
QUALIFICATIONS:
- Bachelor's degree in Business, Finance, Supply Chain, Retail Merchandising, Analytics, or a related field.
- 0–2 years of relevant experience; internship or co-op experience is welcome.
- Strong Excel or Google Sheets skills and comfort working with data.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Organized, curious, and comfortable working in a fast-paced environment.
- Strong communication skills and ability to work cross-functionally.
- Interest in consumer products, wholesale, retail, and Accessories & Apparel.
- Experience with SQL or BI/data visualization tools is a plus.
- This role is based in the WHOOP office located in Boston, MA.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $60,000 - $85,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
Workplace: remote
Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are looking for a Business Development & Partner Manager to own two complementary revenue motions simultaneously: converting partner-sourced leads into Provectus clients, and building a self-sourced pipeline from scratch.
The first motion sits at the heart of our Anthropic and AWS partnership. They share qualified enterprise leads with us. Your job is to receive those leads, run the full sales cycle, and close them — making Provectus the AI implementation partner of choice for Anthropic's enterprise accounts. Beyond converting inbound leads, you will actively grow the relationship: joint pipeline reviews, co-marketing, partner tier maintenance, and expanding the number of Anthropic field reps who think of Provectus first when they have an implementation need.
The second motion is yours to own. You will prospect independently, build relationships, and close deals with enterprise accounts in Financial Services and Life Sciences without a partner assist — operating as a true full-cycle business developer.
Responsibilities:
Partner motion — Anthropic channel
Act as Provectus's primary point of contact with Anthropic's partner and field sales teams.
Receive, qualify, and own enterprise leads shared by Anthropic; act as the primary point of contact from first conversation to signed SOW.
Identify new co-sell and joint go-to-market opportunities within Anthropic's product and field motion.
Maintain a healthy joint pipeline with Anthropic's partner and sales teams; lead quarterly business reviews and co-sell planning sessions.
Translate Anthropic's product roadmap and partnership incentives into compelling client propositions.
Represent Provectus at Anthropic partner events, executive briefings, and ecosystem calls.
Drive partner tier maintenance and upgrade — certifications, co-marketing activations, case study production.
New logo hunting
Prospect independently into enterprise accounts in target verticals (FSI, Life Sciences) using outbound, networking, events, and referrals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Build and maintain a personal network of enterprise decision-makers and economic buyers on the East Coast.
Cross-functional collaboration
Work with Provectus delivery leads and Architects to scope proposals accurately — you are selling consulting engagements, not software licenses.
Feed market intelligence — buyer objections, competitive dynamics, vertical patterns — back to leadership and marketing.
What You Need to Succeed:
2-5 years of experience in business development, partner/alliance management — with at least part of that in a consulting firm.
Proven track record managing an Anthropic, AWS, GCP, Azure or other partner relationship — co-selling, joint pipeline, MDF, or co-marketing.
Experience converting partner-sourced leads through a full enterprise sales cycle (discovery to signed SOW).
Demonstrated ability to run a full sales cycle independently: prospecting through close, without dedicated BDR support.
Experience selling complex, multi-month consulting engagements (statement-of-work deals, not SaaS subscriptions).
Excellent executive-level communication skills — written, verbal, and in-room presence at C-suite and VP level.
Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech).
Experience in selling AI/ML services, LLM-based products, or cloud data.
Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities.
About Provectus:
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing.
We are recognized by industry analysts as a leading provider of AI solutions across key business domains.
At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact.
Why Join Us:
Work at the intersection of two of the most powerful AI partnerships in the industry — Anthropic and AWS.
A world-class AI/ML team that can actually execute on what you sell.
Shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption.
High-impact role with direct visibility to leadership.
Strong earning potential with performance-based bonuses.
Opportunity to work with cutting-edge AI and cloud solutions.
B2B contract model or full-time model.
OTE range $120-140k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data.
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Responsibilities: Conduct online product demos and meetings with SMB leads to present Keepgo’s B2B solutions and drive deal closures. Communicate with leads through multiple channels, including emails, whatsapp, and online meetings, until successful closure.
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
Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams.
This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it.
What you'll bring
Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams.
High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands.
Force multiplier and raise the people and the codebase around them
Deep full-stack expertise, including strong proficiency in
Go, Ruby
and
Node
.
Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration.
Hands-on experience building production AI-powered tool orchestration.
Experience operating multi-tenant systems across SaaS and self-managed deployment.
Direct communicator who builds alignment across teams.
Bias to write things down and make reasoning legible.
What you'll own
Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem.
Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph.
Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies.
Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs.
Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed.
Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team.
Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward.
Mentor senior and intermediate engineers through design reviews, pairing, and code review.
Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity.
About the team
Data Products work across three surfaces:
Dashboard and Reporting Framework
Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework.
Internal Ingestion
Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem.
External Ingestion
External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products.
We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands.
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
$152,800
—
$259,200 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
.
Location: United States - Remote
Workplace: remote
Azul is seeking a Global Channel Operations Manager to join our Global Revenue Operations team. Reporting to the Vice President, Revenue Operations, this role will manage the programs and infrastructure that support Azul’s global channel ecosystem.
The Role
Our Global Channel Operations Manager will have experience in a high-performing, subscription-based company and a proven ability to support a robust two-tier channel model spanning distributors and resellers. The ideal candidate will prioritize operational readiness, process efficiency, and effective systems.
What You'll Do (aka the Responsibilities):
Partner with the VP of Global Channel Sales to provide direct day-to-day support of the Azul Channel Team.
Own and manage the Channel Partner Program.
Administer partner rebates, referral fees, and Market Development Funds (MDF) programs, including payment tracking and processing.
Coordinate Azul resources to ensure the highest level of partner engagement.
Manage Azul’s Partner Relationship Management (PRM) platform, partner portal and vendor relationship (Impartner).
Manage partner data and information within Salesforce.com, including end-to-end ownership of deal registration processes and channel reporting/dashboards.
Provide regular (weekly, monthly, quarterly) reporting pertaining to the partner sales and partner ecosystem performance.
Manage partner on-boarding process and compliance ensuring easy registration and access to Azul resources and content.
Develop, publish and maintain partner training content in PRM, and manage certification data and compliance reporting.
Administer partner-facing content platform (Highspot or equivalent) — deal registration guides, price books, program terms & conditions, and partner communications.
Manage partner contracting, including reseller, distributor, and referral agreements, using an e-signature/contract lifecycle tool (e.g. DocuSign).
Own the partner support ticketing queue (e.g. Jira Service Management), triaging and resolving partner-submitted issues.
Support Alliance/Marketplace operations (e.g., AWS, GCP) including listing maintenance and cross-team syncs.
Partner with Channel Sales leadership (and Finance, Marketing, and Legal as needed) to implement and continuously improve the Partner Program, including compliance monitoring and incentive/rebate program design.
What You’ll Bring (aka Experience, Skills, Education):
5+ years in Sales Operations, Channel Operations, or Channel Management.
Demonstrated expertise in providing sales support to multiple levels both within the organization and within a partner/distribution environment.
Demonstrated experience managing partner programs.
Undergraduate degree, preferred
Experience administering a PRM/partner portal platform (e.g. Impartner), Salesforce.com, and a contract/e-signature tool (e.g. DocuSign).
Experience with partner enablement or sales content platforms (e.g., Highspot) and, ideally, business intelligence (BI)/reporting tools (e.g., Qlik) and commission/incentive platforms (e.g., CaptivateIQ).
Strong written and verbal communication skills, with the ability to clearly and effectively articulate Azul’s value and business practices.
Organized, detail- and process-oriented.
Self-starter, willing to take a leadership role in driving initiatives in support of the channel with the ability to work effectively in a team environment.
Ability to manage multiple tasks and use good judgment in resolving difficult issues.
Ability to coordinate Azul cross-department resources to execute a complex sales strategy and drive partner growth.
What we Offer
· Comprehensive compensation and healthcare packages
· Referral Program
· Work-life balance, remote-first, paid time off, company shutdown, holidays
· Work with top experts worldwide whom contribute to the Java ecosystem
Our Culture & Values
· Maniacal Customer Focus
· Innovation & Excellence
· Initiative & Courage
· Impact & Influence
· Integrity & Transparency
· Diversity, Inclusion & Teamwork
Azul participates in E-Verify.
As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.
Employment at Azul is contingent upon the completion of reference and background checks.
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
The base salary range for this job is $120,000-$125,000 and is eligible for annual variable pay.
Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, 401(k) plan, and a wide range of paid time off options. The range provided is a reasonable estimate of the base salary for this role.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
ABOUT THE ROLE
We are seeking an experienced leader to oversee Anthropic's global equity administration and payroll operations. In this role, you will lead the teams responsible for our equity compensation administration programs and global payroll operations, ensuring both functions scale accurately, compliantly, and efficiently as we grow — including through listing readiness and public-company operations. You will manage senior functional leaders across equity and payroll, and partner closely with Legal, Tax, HR, and the broader Accounting organization to support our mission to make AI beneficial for humanity.
RESPONSIBILITIES
Lead and develop the equity administration and payroll teams, setting strategy, priorities, and operating cadence across both functions
Own the control environment for equity and payroll: design and document to public-company standards.
Oversee scaling to public-company standards across both functions.
Drive systems strategy across the compensation platforms, from equity to payroll, and surrounding integrations, ensuring a coherent architecture as we scale
Serve as the primary escalation point and executive interface for equity and payroll matters with Legal, Tax, HR, and external providers
Oversee international expansion of both functions, including new-country payroll setup, cross-border equity compliance, and mobility programs
Partner with Accounting on stock-based compensation and payroll accounting, ensuring clean handoffs for close, reporting, and audit
Drive automation and continuous improvement of manual processes across both teams through technology solutions
Build headcount and resourcing plans that scale with the business
YOU MAY BE A GOOD FIT IF YOU
Have 15+ years across equity compensation and/or payroll operations, with significant experience leading senior functional leaders
Have operated equity and payroll functions to a public company standard.
Have deep familiarity with equity management platforms (such as Shareworks or E*TRADE) and Workday payroll, with experience owning cross-system architecture
Have built and scaled global operations across multiple jurisdictions
Are a strong people leader who develops senior functional experts
Thrive in ambiguous, fast-paced environments and default to building scalable processes over adding headcount
STRONG CANDIDATES MAY ALSO
Hold CEP (Certified Equity Professional) or CPP (Certified Payroll Professional) certification
Have experience with international mobility programs, worker secondments, and cross-border tax considerations
Have led complex system implementations or migrations at scale
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:
$570,000
—
$610,000 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: Melbourne, Victoria, Australia
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
Responsibilities:
Enforce and enhance the company’s anti-money laundering framework, ensuring processes are robust and aligned with regulatory best practice.
Operate within agreed service levels and KPIs, balancing regulatory obligations with business efficiency.
Conduct targeted risk reviews and assessments to identify vulnerabilities and recommend actionable mitigation strategies.
Record, escalate, and report suspicious transactions or activities promptly, ensuring accuracy and timeliness.
Partner with internal stakeholders and external bodies to ensure coordinated responses to financial crime risks.
Stay current on AML rules, regulations, and industry trends to anticipate changes and guide internal updates.
Use analytical tools and digital techniques to identify patterns, trends, and anomalies in client behavior.
Requirements:
1–2 years’ experience in AML, onboarding, or back-office functions within the brokerage, trading, or wider financial services industry.
Proficiency in data analysis (Excel and similar tools), with strong statistical and reporting abilities.
Sharp judgment and a practical approach to resolving compliance and risk challenges.
Clear, concise, and structured communication skills, with the ability to present findings to stakeholders.
High accuracy and thoroughness in assessing data, identifying risks, and completing regulatory reports.
Business-level proficiency in English (B2 CEFR or higher).
What Will You Get in Return?
• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
United States - Remote; This candidate must be located in the Central region of the United States
United Kingdom - Remote; This role requires strong communication skills, self-discipline, and the ability to collaborate effectively with internal stakeholders across many different time zones
San Francisco, CA • New York, NY • United States
Зарплата не указана
УдалённоseniorRemote (US)
ОфисBoston, MA
УдалённоNew York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
Canada
United States
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only