Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
We are seeking a Senior Accountant to join the team responsible for the accounting for Hasbro's global network of licensees across categories such as merchandising, publishing, digital gaming, casino, and location-based entertainment. Reporting to the Senior Manager, Royalties, you will own core royalty accounting, close, and control activities — and, just as importantly, help build a stronger, more efficient way of running them.
This is a role for a strong accountant who is not content to run the process as-is. We are actively modernizing how royalty accounting works — strengthening controls, simplifying processes, and raising the bar on accuracy and efficiency — and you will be a driving force in that effort. Success in this role means seeing a manual, repetitive, or fragile process and making it better, pairing that instinct with disciplined, reliable execution. You will work across Finance, Legal, and business partners and help shape how royalty accounting runs for Hasbro's global network of licensees.
Location and Work Arrangement
This role is based at our Boston, Massachusetts, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Own royalty accounting, close, and reconciliations — prepare and review journal entries, account reconciliations, and month-end and quarter-end close activities, ensuring royalty revenue and associated balances are recorded completely, accurately, and on time.
Strengthen controls and process — build, improve, and stand behind the controls and checks that keep royalty accounting accurate and well-documented, closing gaps and making the process more reliable quarter over quarter.
Drive continuous improvement and lean process change — actively identify manual, repetitive, or fragile steps and redesign, automate, or streamline them; measure the impact and make the improvement stick.
Account for licensee guarantees and overages — ensure minimum guarantees, overages, and related true-ups are tracked, calculated, and recorded accurately, and that issues are surfaced and resolved.
Partner across the business — work closely with the offshore royalty operations team, Finance, Legal, and business partners to keep royalty accounting aligned to operational reality and to move issues to resolution.
Support audits — prepare documentation and respond to internal and external auditor requests, and help ensure the control environment holds up to scrutiny.
Read and apply contract terms — review licensing agreements and amendments to ensure royalty accounting reflects the terms of the deal, partnering with Technical Accounting on complex judgments.
Complete ad hoc projects — support special analyses and process or system initiatives as the function evolves.
What You'll Bring
Bachelor's degree in Accounting; Certified Public Accountant (CPA) designation preferred.
Minimum 3 years of public accounting and/or public company experience; Big Four experience preferred.
A genuine bias toward continuous improvement — demonstrated success identifying a manual or inefficient process and redesigning, automating, or streamlining it, with measurable results.
Strong working knowledge of US GAAP and internal controls / Sarbanes-Oxley concepts.
Comfort and curiosity with systems and technology, and eagerness to use tools to work more efficiently and reduce manual effort.
Experience reviewing and interpreting contracts; knowledge of the licensing industry or royalty accounting is a plus.
Proficiency with Microsoft Excel; experience with SAP and BlackLine preferred.
Ability to succeed in a fast-paced, high-pressure environment and meet deadlines.
Excellent communication skills and the ability to learn and adapt in a dynamic environment.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
Privacy Notice
Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$85,600
—
$128,400 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Knowledge has the power to shape how an organisation learns, adapts and succeeds. When people can easily find and trust the information they need, they make better decisions, move with confidence and create better experiences for our customers.
In this role, you’ll help build the connections, habits and resources that make knowledge easier to share and reuse. You’ll bring people and ideas together, make expertise more accessible and help teams learn from one another, reducing duplication while creating space for better ways of working.
As a Knowledge Management Specialist, you’ll work with subject-matter experts and teams across the organisation to turn fast evolving product, risk and regulatory requirements into clear, practical and easy-to-find guidance. Your work will help frontline and specialist teams act with clarity, consistency and confidence.
This is an opportunity for someone looking to grow their experience in knowledge management, content creation and learning. You don’t need to tick every box; we’re interested in clear communication, curiosity and a willingness to learn.
KEY RESPONSIBILITIES
- Translate complex onboarding, fraud, disputes, complaints, and account security processes into clear, user-friendly knowledge assets (articles, how-to video guides, process flows, FAQs) for frontline and specialist teams.
- Work closely with Process Architects and Subject Matter Experts to rapidly capture, draft, and publish knowledge as new workflows go live, keeping pace with a fast-moving launch roadmap.
- Act as the knowledge liaison between Operations, Product, Compliance, Legal, and Training teams, ensuring content reflects evolving regulatory requirements and product changes.
- Track and analyse knowledge base performance and usage metrics to identify content gaps and opportunities for improvement.
- Maintain taxonomy and tagging standards to ensure content findability and effective AI/assistant integration.
RELEVANT EXPERIENCE
- Experience in knowledge management, content creation, learning and development or instructional design.
- Hands-on experience with a knowledge platform (e.g. Confluence, Zendesk, Notion).
- Comfortable working with ambiguity and changing requirements, with experience working in a fast-paced, dynamic environment (high-growth fintech a plus).
- Working knowledge of operations, including familiarity with operational processes, workflows and the day-to-day realities of the teams you'll be supporting.
- Exceptional written and verbal communication skills, with an ability to simplify and accurately represent complex operational, risk, and regulatory processes.
- Detail-oriented approach with excellent proofreading, editing, and content quality assurance skills.
- A proven track record of collaborating effectively with Subject Matter Experts and cross-functional teams to gather high-stakes information quickly.
- Strong organisational and time management skills, with the ability to manage competing content priorities across multiple workstreams.
- Working knowledge of KM metrics and reporting (content freshness, coverage, search success, deflection) and the ability to communicate progress clearly to stakeholders.
NICE-TO-HAVE
- Experience supporting a new team or product launch, where knowledge and process are being built in parallel.
- Understanding of learning design, instructional writing or adult learning principles.
- Familiarity with workflow automation, AI-assisted content creation, emerging knowledge technologies, and AI-assisted search or chatbots for knowledge sharing.
- Experience working with crypto and blockchain products, with an understanding of their operational and regulatory considerations.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Munich, Germany
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
WHO WE ARE:
This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA.
WHAT YOU'LL ACHIEVE:
- Own the GTM strategy, operating rhythm, and growth plan for Germany, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution.
- Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions.
- Scale a country-first GTM motion that brings Notion closer to German customers through local executive engagement, market nuance, and faster field-level decision-making.
- Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion.
- Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across Germany.
- Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions.
- Make agentic transformation central to the German GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption.
- Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, and Channel to reduce handoffs and deliver faster, more durable customer value.
- Build “sell with” partner motions in Germany, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning.
- Establish Notion as a visible force in the German ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy.
- Represent the voice of German customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics.
- Create a talent destination in Germany by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent.
- Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution.
WHO WE'RE LOOKING FOR:
A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in Germany and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent.
You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow.
You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows.
SKILLS YOU'LL NEED TO BRING:
- 12+ years of professional experience, including 5+ years SaaS or AI sales & GTM teams in Germany.
- Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams.
- Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics.
- Deep knowledge of the German enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics.
- Experience building or scaling a regional/country business in a high-growth or ambiguous environment.
- Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products.
- Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes.
- Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process.
- Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative.
- Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product.
- Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building.
- Fluency in German and English.
NICE TO HAVES:
- Experience launching or scaling a country-first or regional GTM operating model.
- Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes.
- Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation.
We’re an equal opportunity employer and encourage candidates to apply even if not matching every bullet.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated on target earnings (including base salary and on target incentive pay) for this role is €350,000 - 420,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world — one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We're a team of fiercely driven individuals committed to making healthcare more sustainable — and we're looking for passionate people to help us get there.
For more information, visit arcadia.io.
Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.
Why This Role Is Important to Arcadia
Arcadia's commercial team depends on consistent process, clean pipeline data, and forecasts to help manage and grow the business. As a fast-growing company, we need to scale our infrastructure, systems and operating model to one that aligns to the pace of the growth. This role owns the systems, tools, and cadences that make pipeline reviews, forecasting, and reporting consistent and accurate across the entire commercial team.
Part of the initial mandate is understanding the current ecosystem of tools and technology that support commercial and revenue operations today, and making recommendations on the optimal tech stack for the function going forward — one that is AI native. This person will be the accountable owner of that stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation.
This person will run point on sales operations and the forecasting cadence, and will build the AI-powered operating layer (dashboards, briefings, and workflow tools) that gives the entire commercial organization — not just its leadership — real-time visibility and leverage.
This is role is for someone who is execution oriented. You'll work in the tools yourself — not just direct others to — while also setting the strategy, systems, and rigor that let Sales, Marketing, Customer Success, Legal, and Finance move as one aligned, predictable engine.
What You'll Be Doing
Own the revenue operating system, designing and scaling the processes, metrics, and infrastructure that drive consistent, predictable performance across the business
Partner with Systems Engineering to drive end-to-end improvements and scalability in Salesforce, including structure, data hygiene, workflow automation, and adoption across the sales org
Evaluate the current ecosystem of tools and technology supporting commercial and revenue operations, and make recommendations on the optimal, AI-native tech stack for the function
Serve as the accountable owner of that tech stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation
Own pricing strategy, SKUs, and the end-to-end quote-to-cash process, ensuring pricing structures and deal execution are clean, consistent, and scalable
Own the forecasting cadence and develop robust, repeatable forecasting models (pipeline, bookings, ARR) that improve accuracy and predictability
Build the AI-powered operating layer — automated briefings, pipeline intelligence, meeting prep, and reporting dashboards — that gives the commercial organization real-time visibility
Establish and maintain a unified KPI framework, ensuring alignment on definitions, visibility, and accountability across the funnel
Act as connective tissue across live opportunities, coordinating Marketing, Finance, the RFP team, Value Enablement, and Sales Engineering so they're effectively leveraged
Partner with Sales, Marketing, Customer Success, and Finance leadership to align execution with company goals and financial plans
Analyze pipeline health, conversion rates, and sales efficiency to identify opportunities and drive improvements
Design and manage sales compensation and incentive plans that align with business objectives and drive desired behaviors across GTM teams
What Success Looks Like
In 3 months
Build a deep understanding of Arcadia's GTM model, revenue streams, and key SaaS metrics (ARR, NDR, GDR, pipeline coverage, win rates, sales cycle)
Assess current RevOps infrastructure, CRM configuration, reporting, and forecasting methodologies
Map the current ecosystem of tools and technology supporting commercial and revenue operations, and begin forming a point of view on the optimal, AI-native tech stack
Establish trust across Sales, Marketing, Customer Success, and Finance leadership
In 6 months
Own the CRM and forecasting cadence end-to-end, with a unified KPI framework giving clear visibility into pipeline health, revenue performance, and GTM efficiency
Ship the first version of the AI-powered operating layer (automated briefings, dashboards, and reporting tools) that reduces manual reporting burden for commercial leadership
Improve forecast accuracy through enhanced pipeline modeling and data-driven insights
In 12 months
Operate a scalable revenue operating system — process, CRM, forecasting, and AI tooling — that enables predictable growth and aligns planning across GTM and Finance
Deliver consistent, high-confidence forecasts and actionable insights that directly inform the executive team's decisions
Improve key performance metrics (e.g., pipeline coverage, conversion rates, sales productivity, retention) through data-driven optimizatio
What You'll Bring
The Role, Done Before
You have held this exact role — Head/Director of Revenue Operations or equivalent — at a company of similar growth stage, and can point to what you built and owned.
Growth-Stage Fluency
Track record of operating at growth-stage speed and ambiguity — scrappy, resourceful, and comfortable building infrastructure from scratch rather than administering something already built. Candidates whose experience is exclusively at large, mature organizations without growth-stage exposure are not a fit for this seat.
Deep SaaS Metrics Expertise
Strong command of key SaaS metrics including ARR, NDR, GDR, CAC, LTV, pipeline coverage, and sales productivity, and how they connect to business performance.
Forecasting & Modeling Rigor
Proven ability to build and operationalize forecasting models (e.g., pipeline velocity, ARR forecasting) that improve accuracy and predictability.
CRM & Systems Ownership
Deep, hands-on experience owning a CRM (Salesforce or equivalent) and the broader GTM tech stack — configuration, data integrity, and workflow design, not just consumption of dashboards.
Pricing & Quote-to-Cash Experience
Hands-on experience owning pricing strategy, SKU structure, and the quote-to-cash process, ideally in a company that scaled or restructured its pricing model.
AI-Forward
Comfortable using AI tools to build operational leverage — automating reporting, briefings, and workflows rather than relying solely on headcount to scale.
Cross-Functional Leadership
Track record of partnering effectively with Sales, Marketing, Customer Success, Finance, and executive leadership to drive alignment and results.
Operator Mindset
Ability to move between strategy and execution, translating insights into action and driving measurable impact.
Would Love for You to Have
8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics in a SaaS environment
Experience supporting a high-growth SaaS company through key milestones (e.g., post-acquisition integration, scale-up, or M&A)
Familiarity with modern BI, AI, and planning tools (e.g., Sigma, Adaptive, Salesforce ecosystem, AI-native reporting/agent tools) and building self-service analytics environments
Experience designing and optimizing sales compensation plans at scale
What You'll Get
The mandate to build a consistent, predictable commercial engine — including its AI-powered tooling — rather than inherit and maintain one
A growth path from individual contributor to leading the people and functions that support sales operations as Arcadia scales
A mission-driven culture where your work supports better healthcare outcomes
Competitive compensation and strong benefits, including Flexible Time Off
A collaborative, data-driven environment focused on impact, ownership, and continuous improvement
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
This role is bonus eligible
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
As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book.
You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs.
This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own.
Responsibilities:
Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed
Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly
Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback
Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no
Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate
Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many
Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB
Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering
Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking
Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier
You may be a good fit if you:
Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams
Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work
Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book
Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership
Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face
Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one
Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go
Have strong executive presence and can build trust with technical and business leaders alike
Have a genuine passion for making powerful technology safe and societally beneficial
Strong candidate may have:
Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch
Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500
Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them
A visible technical presence through conference talks, written content, or open-source contributions
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:
$315,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, United Kingdom
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 an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike.
What you’ll do
Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing.
Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
Collaborate with
Product
,
Development
,
Infrastructure
,
Customer Success
, and
Sales
teams to drive bug fixes, influence feature development, and help shape product goals and roadmap.
Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them.
Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently.
Partner closely with Support Engineering team members through
pairing sessions
and
stable counterpart
relationships to share knowledge and solve problems together.
Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews.
What you’ll bring
Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers.
Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides.
Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains.
About the team
The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our
company roadmap
and
meetings
to see what we are working on at any time.
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: NYC, Remote; San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions.
What will I be doing?
Lead technical discovery to identify and address our customers’ needs
Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise
Conduct impactful, value-based solution reviews and in-depth technical sessions
Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities
Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues
Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning
Build trust with customers by approaching challenges with empathy and curiosity
Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin
Commit to customer success, ensuring lasting value and proactively addressing challenges
What skills do I need?
Minimum of 3 years of experience in a technical sales role, managing C-Level technical and business relationships
Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations.
Ability to solve problems independently while thriving in collaborative team environments
Proven time management skills in a dynamic team environment
Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle.
Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact.
Experience working closely with product and engineering teams to communicate customer feedback and influence product direction.
Familiarity with managing POCs, RFPs, and addressing complex security questions.
Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity
Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks
Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company
Willing and able to travel occasionally
*Proof of eligibility to work in the United States is required.
The OTE salary range for candidates within the San Francisco Bay Area or New York City is $190,800-$227,900 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions.
What will I be doing?
Lead technical discovery to identify and address our customers’ needs
Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise
Conduct impactful, value-based solution reviews and in-depth technical sessions
Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities
Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues
Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning
Build trust with customers by approaching challenges with empathy and curiosity
Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin
Commit to customer success, ensuring lasting value and proactively addressing challenges
What skills do I need?
Spanish Fluency is required
Minimum of 3 years of experience in a technical sales role, managing C-Level technical and business relationships
Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations.
Ability to solve problems independently while thriving in collaborative team environments
Proven time management skills in a dynamic team environment
Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle.
Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact.
Experience working closely with product and engineering teams to communicate customer feedback and influence product direction.
Familiarity with managing POCs, RFPs, and addressing complex security questions.
Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity
Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks
Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company
Willing and able to travel occasionally
*Proof of eligibility to work in the United States is required.
The OTE salary range for candidates within the Greater Chicago Area is $171,720-$205,110 Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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 an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike.
What you’ll do
Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing.
Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
Collaborate with
Product
,
Development
,
Infrastructure
,
Customer Success
, and
Sales
teams to drive bug fixes, influence feature development, and help shape product goals and roadmap.
Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them.
Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently.
Partner closely with Support Engineering team members through
pairing sessions
and
stable counterpart
relationships to share knowledge and solve problems together.
Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews.
What you’ll bring
Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers.
Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides.
Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains.
About the team
The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our
company roadmap
and
meetings
to see what we are working on at any time.
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
$126,400
—
$213,600 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
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds.
As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are.
What you'll do
Our work splits into two workstreams, and we need your help across both.
Portable infrastructure.
We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in.
Claude on partner clouds.
We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them.
Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice.
You might be a good fit if you:
Have a minimum of 8 years of practical experience building and operating production distributed systems
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production
Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible
Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers
Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust)
Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi)
Understand ML infrastructure and supporting interconnects
Ship software through hyperscaler marketplaces or managed-model platforms
Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Atlanta
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
We are looking for a seasoned underwriter with a background in payments, due diligence, and financial analysis to join our Platforms Underwriting team in Atlanta.
You will be part of a team that is responsible for underwriting applications for customers utilizing Checkout.com http://Checkout.com’s solution for platforms, primarily Payment Facilitators, Marketplaces, and Staged Digital Wallet Operators. This team focuses on analysis relevant to Customer Due Diligence, Enhanced Due Diligence, Business Model, Credit, and Financial Analysis.
This role offers unique exposure to our core business areas, collaborating closely with our key internal players (Commercial, Compliance, Risk, Legal teams and Senior Management) and our high-value merchants and partners.
How you'll make an impact
- Conduct business model analysis and a holistic assessment of a customer’s risk profile, leveraging your proficient-level understanding of the risks and requirements of different Platform models (ISVs, Payfacs, Marketplaces, Staged Digital Wallets, MORs).
- Conduct customer due diligence and enhanced due diligence analysis on prospective customers including KYC, KYB, PEP, Sanctions, and Adverse Media screening.
- Conduct expert-level analysis of P&L, balance sheet, and cash flow statements of Platform models and other high-risk sectors.
- Prepare persuasive summaries to internal stakeholders and risk committees, identifying mitigants and making balanced recommendations for each deal.
- Represent the Platform Underwriting team in leading and attending customer calls and meetings alongside Sales or Account Managers.
- Approve individual credit submissions in line with approval authority.
- Identify operational issues and areas for improvement, and make detailed recommendations on how to improve the merchant onboarding experience.
- Act as a mentor to new or junior team members through training initiatives and credit approvals.
- Foster a culture of collaboration with key internal stakeholders, in particular Sales/Account Managers, and first and second line Risk and Compliance personnel and Legal.
- Contribute to department and cross-functional projects/initiatives as required.
What we’re looking for
- Proficient-level understanding of Checkout's Platform product offering, including features and limitations, and the ability to independently classify different Platform models.
- Expert-level financial statement analysis and credit exposure assessment ability.
- Demonstrated ability to make sound judgments, balancing risk and reward.
- Competent escalation management, acting with urgency to ensure escalations are prioritized, owned, and resolved effectively.
- Ability to continually monitor and independently manage competing priorities and adjust accordingly without impact to SLA attainment.
- Excellent written and interpersonal communication skills, with concise presentation skills and the ability to deliver complex messages clearly.
- A passion for operational improvement initiatives and the ability to contribute to broader department initiatives and projects.
- Possess a ‘customer first’ approach to delivering creative solutions.
Experience you'll bring to the role
- 6+ years of direct experience related to financial analysis or merchant underwriting.
- 5+ years of work experience related to due diligence, merchant underwriting, or equivalent underwriting work.
- Demonstrable experience related to customer due diligence, enhanced due diligence, merchant underwriting, credit insurance, and/or commercial lending.
- Subject matter expertise in AML/CTF and/or underwriting and financial analysis.
- Domain expertise within the payments or Fintech industry will be preferable.
- Previous experience coaching or mentoring is desirable.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
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
We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform.
Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on.
What you'll do
Scale the platform.
Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production.
Evolve the harness — and prove it with evals.
The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude.
Help builders get the most out of Claude.
Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely.
Design APIs that outlast their implementations.
Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer
Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost
Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains
Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings
Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good
Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship
Care about building systems that other engineers and businesses love to use, and about doing so safel
Strong candidates may also have:
Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination
Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization
Built evaluation or benchmarking infrastructure for LLM or agent systems
Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes
Shipped public developer platforms, APIs, or SDKs used by external developers at scale
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box.
The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both.
What you'll do
Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more.
Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently.
Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments.
Take full ownership of your work—from design through deployment and operations
Are proficient in Python, Go, Rust, or similar systems language
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.
This role is based in Dublin, Ireland. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy
- Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers
- Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff
- Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running
- Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion
SKILLS YOU'LL NEED TO BRING:
- Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels
- Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response
- Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations
- Passion for AI/ML and understanding of API-first or consumption-based business models
- High-activity mindset with the discipline to prioritize based on signal and data, not just volume
- You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results.
- Fluency in Dutch
NICE TO HAVES:
- Experience with Salesforce, Outreach, or similar GTM tooling
- Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software
- Background in a high-velocity, metric-driven outbound environment with clear pipeline targets
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €70,000 OTE per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Senior Fullstack Engineer
- Location: Espoo
- Department: Engineering, Fleet Control and Communications
- Reports to: Engineering Manager, Fleet UI
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior Fullstack Engineer in Fleet UI team you will be building a mission-critical system used by satellite operators. The problems are technically rich: managing satellite configurations, visualizing orbits in 3D, managing passes across a global network of ground stations, automating mission operations and more. You will work in a domain where the UI decisions directly impact satellite mission outcomes.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Build, and maintain features across a React + TypeScript project serving real-time satellite operations
- Collaborate closely with a UI/UX designer in developing sophisticated UI components and data visualizations tools including timeline views, 3D globe rendering (Cesium), and pass planning interfaces
- Contribute occasionally to backend APIs (Node, Python) to unblock delivery when needed
- Drive frontend architecture decisions — state management strategy, component design, performance optimization
- Support the team with DevOps work across multiple environments — including managing Docker-based deployments, configuring environment-specific runtime settings, and contributing to release workflows
- Write and maintain unit tests (Jest + Testing Library) and end-to-end tests (Playwright)
- Participate in code reviews, uphold coding standards, and mentor engineers on best practices
- Contribute to CI/CD pipelines and oversee migration from Webpack 5 to Vite
What we’re looking for
Must haves:
- 5+ years of professional experience building fullstack production-grade applications using React, TypeScript (ES6+) and Node
- Experience writing clean, maintainable code in Python
- Strong understanding of component-based architecture, modern React patterns, and state management approaches
- Experience designing, developing, and consuming RESTful and GraphQL APIs
- Solid testing discipline, including unit and end-to-end testing with tools such as Jest and Playwright
- Experience with modern frontend tooling and build systems such as Vite, webpack, and npm
- Proficiency with Git and collaborative development workflows
Active use of AI-assisted development tools
- Strong problem-solving skills and ability to debug complex, cross-layer issues
- Understanding of web application security best practices
- Relevant higher education degree in Computer Science, Software Engineering, or a related technical field
Nice to haves
- Solid understanding of API design, including REST principles and GraphQL schema design
- Knowledge of database design and ORM frameworks
- Experience with modern DevOps practices including CI/CD pipelines, containerization, and cloud platforms such as AWS
- Familiarity with infrastructure and deployment tooling such as Kubernetes, Terraform, Helm, or ArgoCD
Application Process
- Talent Partner Screen Call
- Hiring Manager Interview
- Technical Interview
- Values & Fit Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is 6 500 - 9 000 € per month (gross), depending on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Hybrid - New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Product Manager, Observability, you’ll own the strategy and roadmap for Vercel’s observability products, including Runtime Logs, OpenTelemetry tracing, and Drains. Drains let teams stream logs, traces, Web Analytics events, and Speed Insights metrics into the systems they already use. You’ll partner closely with engineering and design to help customers understand and debug what they run on Vercel, through Vercel’s native surfaces and through integrations with vendors that support OpenTelemetry. This is a hybrid role with 3 in-office days per week in New York City.
What you'll do
Own the strategy and roadmap for Vercel’s observability products, from telemetry ingestion through the surfaces developers use to debug and monitor
Turn support escalations, customer interviews, usage data, and competitive shifts into a sequenced plan with clear tradeoffs, and define the metrics that show whether it’s working
Partner daily with engineering on scoping, with design on making dense telemetry data legible, and with PMM on the launch narrative (changelogs, blog posts, and docs direction)
Decide what Vercel builds natively and where it integrates with Datadog, Sentry, Grafana, Honeycomb, and New Relic
Work with Enterprise customers and Sales/Solutions on observability needs that block adoption or expansion, and own pricing and packaging with Finance and GTM, since observability is metered
What you need
5+ years in product management, with meaningful time on developer, infrastructure, or data-intensive products
Shipped a technical product, and can read a trace waterfall and reason about cardinality, sampling, and retention costs
Owned a product domain end to end, turning strategy into work without a PM above you
Write your own queries to answer usage questions instead of waiting on someone else
Bonus if you
Have worked at an observability, APM, or monitoring company, or been the internal power user of one at scale
Have shipped AI or agent-facing developer tooling
Have owned consumption-based pricing for a technical product
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Ukraine; Moldova; Albania; North Macedonia; Turkey; Kazakhstan; Montenegro; European Union; Serbia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading technology company specialising in innovative consumer products across multiple technology sectors. The company focuses on D2C (Direct-to-Consumer) subscription products. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Senior User Acquisition Manager to own and scale Facebook(Meta) for one of our core D2C subscription products. The funnel is simple: ad → quiz → trial → subscription (web-to-web). The scale is not: 40+ countries, 20+ languages, one of the largest Meta budgets in its category.
You will be measured on two numbers: daily subscriptions and cohort ROI — not clicks, not CTR, not platform-reported ROAS.
You'll operate with serious leverage: an API-driven build pipeline and AI tooling handle the mechanical work. Your job is judgment — what to scale, what to cut, where the next dollar goes. The bar is high and so is the upside: performance here is directly and significantly rewarded, and strong operators take on bigger scope fast.
KEY RESPONSIBILITIES
- Channel Ownership: Own the Facebook account end to end — structure, budgets, bidding, geo mix — keeping subscription volume high at target CPA and ROI.
- Scaling & Stability: Scale winners without breaking CPA; keep delivery stable at high spend and catch problems before they cost money.
- Testing: Run a continuous testing pipeline — creatives, structures, bidding (highest volume / cost cap / bid cap), placements, geos and languages. Kill fast, scale what works.
- Creative Ideas: Own the creative direction for the channel — hooks, angles, formats — and brief the creative team with data-backed feedback.
- Working with Data: Make decisions on real cohort revenue from our BI, not on Ads Manager numbers. Break performance down to country × creative × bid level and build your own reports.
- Account Health: Protect ad accounts, pages and Business Managers — policy-safe copy and landings, appeals, backups.
- AI & Automation: Automate every repeatable part of your workflow with AI and keep manual work to a minimum.
QUALIFICATIONS
MUST-HAVE EXPERIENCE
- 2+ years hands-on Facebook as the primary channel you personally owned.
- Personally owned $400K+/month on Meta with direct accountability for CPA / ROI targets — your budget, not your team's or agency's total.
- Subscription funnels: drove subscriptions or trials through web funnels (web-to-web) or subscription apps for D2C products.
- Multi-GEO: ran and scaled campaigns across many countries and languages at once.
- Analytics: comfortable with cohorts, LTV, payback and the gap between platform and BI numbers.
- AI in daily work: uses Claude, ChatGPT or equivalents daily for analysis, reporting and automation — not just aware of them.
- Working proficiency in English (B2+).
NOT A FIT
- Mostly agency experience (spread across many small clients)
- E-commerce / catalog-only background (DPA, Shopping, basket ROAS)
WHO YOU ARE
- Full owner of your zone — from diagnosis to result, no reminders needed
- Analytical — every scale or kill decision has a period, a threshold and a dollar amount behind it
- Plans ahead — runs the channel against a plan weeks and months out
- Fast under load — many campaigns and tests in parallel without quality slipping
- Ambitious — wants to grow fast and prove it with performance
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (45 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
#LI-Remote
ОфисLondon
headMunich, Germany
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorRemote, United Kingdom; As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones
NYC, Remote; San Francisco, California
Chicago, Illinois
УдалённоseniorRemote, Canada; Remote, United States; As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones; The base salary range for this role’s listed level is currently for residents of the United States only
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
УдалённоRemote (USA)
ОфисseniorГеография найма не уточнена
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY or the Bay Area given the current location of team
Dublin, Ireland
ГибридseniorEspoo
Hybrid - New York City
УдалённоseniorUkraine; Moldova; Albania; North Macedonia; Turkey; Kazakhstan; Montenegro; European Union; Serbia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
Автоотклики