Location: Aberdeen, United Kingdom
We are?
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
The Role and Responsibilities
An exciting new permanent opportunity has opened up within our Cranes and Lifting department for a Crane Operator Mechanic. The role will be to work on a 3/3 rotation based in the North Sea, on a fixed platform.
You will be tasked with carrying out first line maintenance up to and including 6 monthly Planned Maintenance Routines and ensuring Crane integrity is maintained in accordance with client's maintenance standards. Other main duties and responsibilities will include;
Supervise mechanical work scopes as directed by onshore engineering
Record crane availability in line with client performance standards
Complete daily log, trip assessment reports and crane log books
Update crane data into client maintenance management system
Operate crane for installation and vessel lifts within crane design, consideration to weather and sea states in line with relevant lift plans and risk assessments
The Requirements
To be successful for the position it is essential you hold a Stage III Offshore Crane Operator Certificate and subsequent Stage III assessments. You will also hold a recognised apprenticeship or maintenance / mechanical qualification (e.g. NVQ Level 3 or equivalent). Previous Offshore experience and valid offshore certificates are essential.
Diversity & Inclusion
At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT PRODUCTION ENGINEERING
Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them.
A few things that define how we operate:
- One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.
- If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack.
- We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed.
- We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.
- We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters.
You cannot build the future of finance on shaky infrastructure.
OUR TEAMS
Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.
Right now, we operate across four areas:
- Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale
- Storage — databases, caching, object storage, and the data infrastructure that underpins everything
- Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture
- Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs
WHAT YOU'LL DO
Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.
As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes.
Day to day, you will:
- Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership.
- Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered.
- Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
- Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
- Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
- Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
- Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.
- Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.
- Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.
- Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.
WHAT WE LOOK FOR
We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team.
The mindset we're looking for:
- You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems.
- You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage.
- You can set a technical direction, bring people along, and then lock in with the team to make it happen.
- You do not believe managing engineers means stepping away from the technology or the code.
- You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem.
- You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job.
- You move with urgency but without chaos. You know when to go fast and when to slow down and do it right.
- You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win.
- You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one.
- You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am.
Experience profile:
- 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems.
- Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes.
- Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership.
- A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs.
- Hands-on experience building and operating distributed systems at production scale.
- Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team.
- Experience with at least one major cloud provider (AWS preferred).
- Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response.
- Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome.
- Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger.
Bonus (not required):
- Experience with cellular or multi-tenant architecture patterns
- Prior work on workflow orchestration systems (Temporal)
- Contributions to developer experience or internal platform tooling
- Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2)
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Role Summary:
We are seeking a skilled Electrical Engineer as an independent contract worker to support the design and coordination of cutting-edge data center projects across the U.S. Responsibilities include modeling, designing power distribution, security and life systems, standby generators and UPS systems, performing calculations, preparing technical documentation, and ensuring design accuracy using advanced BIM and electrical engineering tools. Collaboration with other disciplines throughout the full project lifecycle from schematic design through execution is required. Strong technical knowledge, attention to detail, and excellent communication skills are essential.
Key Responsibilities:
— Use BIM tools to virtually construct electrical systems and coordinate with other disciplines using tools such as Autodesk Revit (mandatory).
— Develop a thorough understanding and delivery of project requirements related to scope, cost, and schedule.
— Determine and expedite engineering deliverables for projects.
— Develop and maintain project scope of work documentation and revisions during design evolution.
— Design electrical systems including power distribution, UPS, standby generators, and security and life systems.
— Prepare engineering calculations, schematic and detailed designs.
— Prepare technical documentation including design criteria, calculations, process flow sheets, and specification/data sheets for electrical equipment.
— Review shop drawings.
— Produce models and drawings in various BIM software and CAD modeling tools.
Qualifications & Experience:
— Bachelor’s or master’s degree in engineering.
— Proven expertise as an electrical engineer.
— Written and spoken English at B1 level or higher.
— Experience in electrical design for industrial, residential, and commercial sectors, including medium and low voltage distribution, lighting, grounding, and lightning protection.
— Experience with various electrical modeling software.
— Hands-on experience with Autodesk Revit (mandatory).
— Experience working on projects in multidisciplinary environments.
— Deep knowledge of electrical manufacturing processes.
— Understanding of electrical engineering codes and safety standards.
— Proficiency in Microsoft Office (Word, Excel, Outlook).
— Ability to multitask and prioritize to meet project deadlines.
— Self-starter, ambitious, thriving in fast-paced environments.
— Ability to communicate technical knowledge clearly.
— Excellent communication skills.
What We Offer:
— Experience in a high-tech industry working for an international company.
— Unique, cutting-edge data center projects.
— Dynamic work partnering with a professional engineering team.
— Competitive hourly rate.
— Ability to collaborate remotely.
— Supportive dynamic environment.
— English classes available.
Additional Information:
— Engagement is on a long-term independent contractor basis with a US-based company.
— Not limited to a single project; involves continuous collaboration across multiple mission-critical projects.
— Ehvert Mission Critical is a business unit within Salas O’Brien, specializing in data center design and construction management.
— Projects include hyperscale and AI data centers for global tech giants such as Microsoft, Oracle, Uber, and Amazon.
— Use of advanced technologies such as BIM, Virtual Design and Construction (VDC), digital twins, and augmented reality.
Location:
— Based in Tirana, Albania with remote work format.
How to Apply:
— Submit resume in English detailing relevant experience via the provided application URL.
Location: US - Remote; San Francisco, CA; New York, NY; Washington, D.C.
Workplace: Remote
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
ABOUT THE PUBLIC SECTOR TEAM
- Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification and were awarded our first contract with a federal agency. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry.
- Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies.
- We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions.
- In our journey, we are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
WHAT YOU'LL DO
- Build and lead Sierra’s public sector sales team: Recruit, develop, and lead a team of account executives serving strategic federal, state, or local government accounts. Set clear expectations, coach for performance, and build a culture of customer obsession, accountability, and consistent execution.
- Own revenue growth and territory strategy: Translate Sierra’s public sector ambitions into territory coverage, account priorities, pipeline goals, and revenue plans. Allocate resources thoughtfully, maintain rigorous forecasts, and drive the team to consistently achieve or exceed revenue targets.
- Create opportunities around mission outcomes: Build executive relationships with agency leaders and help your team translate priorities such as constituent access, service delivery, workforce effectiveness, and program integrity into compelling AI agent opportunities. Serve as an executive sponsor for strategic accounts.
- Guide complex sales cycles from discovery through award: Coach account executives through long, multi-stakeholder government buying processes and engage directly at critical moments. Mobilize cross-functional support for executive alignment, solution development, business cases, security and legal reviews, pricing, proposal strategy, negotiation, and close.
- Shape acquisition and capture strategy: Ensure every priority opportunity has a credible path to contract and a disciplined capture plan. Help the team navigate funding, fiscal-year timing, competitive dynamics, and procurement pathways—including GSA schedules, GWACs, IDIQs, BPAs, state schedules, and cooperative purchasing agreements. Lead deal reviews that surface risks early and turn strategy into clear next steps.
- Scale Sierra’s partner ecosystem: Partner with public sector and partnerships leadership to build productive relationships with prime contractors, systems integrators, resellers, distributors, small-business partners, and technology providers. Guide decisions about direct sales, subcontracting, teaming, and partner-led transactions to expand customer access and accelerate growth.
- Lead strategic prime and teaming relationships: Establish executive alignment with key partners and help shape account ownership, deal registration, workshare, and joint go-to-market plans. Ensure partnerships bring meaningful customer access, past performance, implementation capacity, or procurement pathways—and translate into qualified pipeline and successful delivery.
- Drive disciplined pursuit and proposal decisions: Partner with the Public Sector GM on bid/no-bid recommendations and prioritize resources across strategic pursuits. Align sales, legal, security, product, engineering, and delivery teams to produce procurement responses that are compliant, differentiated, and precise.
- Stay accountable for customer success: Build trust with senior agency leaders, establish strong handoffs from sales to delivery, and remain engaged through deployment and expansion. Help resolve escalations and ensure commitments made during the sales process support lasting customer relationships.
- Build a repeatable public sector go-to-market motion: Work with public sector leadership to refine account segmentation, hiring and capacity plans, capture processes, partner strategy, contract-vehicle priorities, and sales playbooks. Bring market signals and customer feedback to product and company leadership to shape Sierra’s platform and public sector strategy.
- Lead an AI-native sales organization: Embed AI into how the team researches accounts, develops outreach, synthesizes calls, plans opportunities, creates proposals, and forecasts. Model effective use, share successful practices, and help account executives spend more time on judgment, strategy, and customer relationships.
WHAT YOU'LL BRING
- 15+ years of selling experience: Extensive experience in enterprise customer-facing sales role, specifically selling to the U.S. government.
- People leadership experience: 10+ years managing, mentoring, and developing a high-performing enterprise sales team.
- Enterprise experience: You've run and managed end-to-end complex deals ($1M+).
- Strong fluency in government acquisition and procurement, including funding and budget cycles, competitive solicitations, proposal processes, task orders, and common Federal or state contract vehicles.
- Experience developing and executing capture strategies before a solicitation is released—not simply responding once an RFP is public.
- A strong network and demonstrated ability to work with government technology partners, including prime contractors, systems integrators, resellers, distributors, and small-business teaming partners.
- Sound judgment about direct, channel, prime/subcontractor, and teaming models, with the ability to select and execute the right path for a particular agency and opportunity.
- The ability to build credibility with agency executives, program leaders, contracting and procurement officials, security teams, and technical stakeholders—and to align those groups around a shared path forward.
- Excellent executive communication, negotiation, account planning, and forecasting skills. You are rigorous about details, procurement milestones, and next steps.
- A passion for public sector work and a belief in the potential of government institutions to improve outcomes for the people they serve.
- Comfort operating with high ownership in an early-stage business: you create structure where it does not yet exist, move with urgency, and collaborate deeply across functions.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Hybrid - EMEA
About the Job:
We are looking for a talented Senior Solutions Engineer at LaunchDarkly, you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus.
Responsibilities:
Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle.
Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions.
Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders.
Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor.
Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap.
Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability.
Mentor junior team members, foster technical excellence, and share industry best practices across the SE team.
Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies.
Respond to RFPs, and manage technical environments to support enterprise sales motions.
Translate complex client requirements into scalable, sustainable, and technically sound solutions.
Represent LaunchDarkly at industry events and customer engagements through travel as needed.
Qualifications:
8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role.
Experience in areas such as the SDLC, cloud architecture, or DevOps.
Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure & Google Cloud).
Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions.
Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry.
Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience).
Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus
Travel & On-Site Engagement:
Up to 35% travel, primarily across EMEA, for customer workshops, deal closings, and industry events
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
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Fill out this
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To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
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directly for confirmed job openings and links to apply.
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Location: San Francisco; New York
Workplace: Hybrid
About Alchemy
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
About the Role
We're looking for a Growth Marketing Lead to shape where Alchemy invests growth: full-funnel, from self-serve signup all the way through the enterprise sales funnel. This is a high-ownership, strategic seat. You'll decide, each cycle, where our marketing dollars and headcount go for the highest return, and you'll have real influence over the tactics we run to get there.
This role has real breadth. You'll own the channel mix we run today, paid search, paid social, SEO, AEO, a lifecycle program we're just getting off the ground, and our website, and you'll decide where each of those gets more or less investment based on what's actually driving signups and pipeline. You'll also go looking for what's next: new channels worth testing as the audience and the industry evolve, and product-led signals worth turning into a marketing motion. And you'll bring visibility to parts of the funnel we can't see well today, both self-serve and the enterprise sales flow, so the whole company can make better calls on where to spend.
This is a senior, strategic role. We're looking for someone who's already built full-funnel growth measurement from scratch at a developer-focused B2B company, and who knows how to rank channels by ROI and act on it. You won't be building a growth program from zero, you'll be evolving one: an AI-powered SEO/AEO system already in production, a defined tool stack, and agencies already engaged. You'll decide what stays, what goes, and where you build a team to get us to the next level of growth maturity.
What You’ll Do
- Own full-funnel visibility for Alchemy's growth motion, from self-serve signup through the enterprise sales flow, including the quality of leads reaching the sales team, so the company can see how every channel performs end to end.
- Set the channel investment strategy each half: given current resourcing and goals, decide where marketing dollars and efforts go, and defend that call with data.
- Own and continuously re-rank channel ROI, paid search, paid social, SEO, AEO, lifecycle/email, website, ecosystem/partner-driven channels, and any new channel you stand up, identifying the highest-ROI area each cycle and reallocating toward it.
- Evaluate and evolve the existing tool stack and agencies: keep, renegotiate, or replace based on what's actually driving signups and pipeline.
- Identify, pitch, and test new channels and signals, including product-led growth signals you pick up working with Product, as Alchemy's audience and the industry evolve, then scope and delegate what you find to the right owner: a product marketer, an ecosystem marketing manager, an agency, or your own hire.
- Build and lead a team over time: propose and open headcount as the highest-ROI areas demand dedicated ownership, and directly manage the specialists and agencies you bring on.
- Represent growth and channel performance in the twice-yearly marketing planning cycle and retro, as a primary voice in where the company focuses its tactics next half, backed by your own data.
What we’re looking for
- 8+ years in growth or performance marketing at a B2B company with a developer-focused audience and both self-serve and enterprise motions.
- Track record of owning full-funnel measurement: connecting top-of-funnel spend to signups to pipeline, and using that to make investment calls, not just channel-level reporting.
- Proven ability to rank and reallocate spend + efforts across channels based on ROI, and to kill or scale channels based on evidence.
- Experience evaluating and managing agency relationships and a marketing tool stack, with the judgment to know what to keep versus replace.
- Comfortable identifying, testing, and standing up entirely new channels rather than only running the established playbook.
- Strong cross-functional operator: able to work with Product on in-product growth signals, with Sales/SDR on lead quality and funnel handoff, and with Product Marketing and Ecosystem Marketing on execution you delegate out.
- Efficiency-obsessed: instinctively pressure-tests where a dollar or a headcount is going before committing to it.
- Familiarity with AI-powered or AI-assisted growth initiatives.
- Ability to be in office in SF or NYC 3x a week.
Nice to Haves
- Startup experience building a growth function from 0 to 1, standing up measurement and channel testing where little existed, not just optimizing an established program.
- Has built and led a team, or is ready to hire and manage one as the highest-ROI areas justify dedicated headcount.
- Experience in crypto/Web3 or blockchain infrastructure marketing.
- Experience marketing an API-first or infrastructure product.
Benefits and Perks
🏥 Medical, Dental, & Vision
💪 Gym Reimbursement
🖥️ Home Office Build-out Budget
🥙 In-Office Group Meals
🚅 Commuter Benefits
🌴 Flexible Time Off
🧘♂️ Wellbeing & Mental Health Perks
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
💸 HSA and FSA Plans
🧬 Fertility Benefits
Alchemy is committed to offering competitive compensation, including base salary as well as bonus and equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
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
Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet.
Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity.
We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection.
We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly.
Read more
here
for the type of features we build.
Key responsibilities
Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping.
Understand the technical architecture of our products and define primitives for new capabilities.
Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows
Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology
Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts
Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment
Minimum qualifications
Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end
Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments
A portfolio demonstrating user-centered design thinking and polished UI craftsmanship
Proficiency with modern design and prototyping tools, such as Figma
Experience using AI tools such as Claude Code as a creative partner in your own design practice
Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority
Preferred qualifications
Experience prototyping with front-end code (e.g., HTML/CSS/JS)
Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities
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:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures.
We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained.
This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job.
Key responsibilities
Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval
Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online
Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation
Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation
Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality
Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture
Minimum qualifications
Proficiency in Python and SQL
Experience training machine learning models and deploying them to production
Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow)
Working understanding of point-in-time correctness and training / serving skew, and how to prevent both
Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders
Preferred qualifications
Experience building or operating a feature platform such as Chronon, Feast, or Tecton
Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams
Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking
Experience with tree-based models on tabular data
Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse
Experience in integrity, spam, fraud, or abuse detection
Experience working with scarce, delayed, or noisy labels
Experience with AutoML or other approaches to automating the ML workflow
Care about the societal impacts of AI and want your work to make powerful systems safer
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Director of Product Marketing to lead go-to-market strategy and execution across Garner's product portfolio and priority customer segments. Reporting to the VP of Product Marketing, you will own the strategy, messaging, and launch execution for a book of product lines while helping set the operating model and standards for the broader product marketing function.
You will drive the narrative around Garner's differentiated approach to healthcare economics - translating complex data and clinical insights into compelling value propositions that resonate with benefits leaders and health systems. You will serve as a senior strategic partner to Sales, Product, and executive leadership, mentor other product marketers, and have direct, measurable impact on revenue generation and market positioning.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own end-to-end go-to-market strategy across a portfolio of product lines - including market segmentation, value prop development, competitive positioning, and messaging architecture. You’ll translate complex healthcare economics and data insights into narratives that drive customer acquisition and expansion
Lead major product launches and feature releases, owning a repeatable launch process and working cross-functionally with Product, Sales, and Customer Success to ensure market readiness, sales enablement, and customer adoption
Set the standard for data-driven marketing plans with clear KPIs (pipeline generation, win rates, deal velocity, positioning lift) and run regular business reviews to measure impact and drive iteration
Partner with RevOps and Sales leadership to analyze revenue processes, develop segment-specific go-to-market approaches and competitive playbooks, and equip external-facing teams with tools that directly improve close rates and deal velocity
Mentor and develop product marketers, raising the bar on craft, and help shape the structure, priorities, and operating rhythm of a growing product marketing team
Build and maintain a deep understanding of the healthcare benefits and provider landscape - including buyer personas, economic drivers, regulatory landscape, and key decision-making criteria
Collaborate with Product leadership to inform product strategy, roadmap prioritization, and feature differentiation based on market insights, customer needs, and competitive gaps
Own thought leadership and content strategy, working with internal and external resources to establish Garner as the authoritative voice on healthcare economics and benefits optimization
The ideal candidate has:
8+ years in B2B product marketing, including 3+ years leading product marketing strategy at scale
A track record of launching products and leading strategic repositioning initiatives at companies with high-caliber customers (Fortune 500, sophisticated tech buyers, etc.)
Exceptional analytical skills — you are comfortable building and interpreting financial models, conducting cohort analysis, and using data to drive marketing decisions and validate assumptions
Deep comfort with ambiguity and a bias toward action; you thrive in fast-growing environments where you must move quickly while maintaining intellectual rigor
Excellent communication skills with the ability to translate complex technical and business concepts into clear, compelling narratives for diverse audiences (executives, clinicians, benefit managers)
A demonstrated ability to lead and partner across functions — you influence without authority, synthesize diverse perspectives, and build credibility with Sales, Product, and Executive teams
Intellectual curiosity and genuine interest in healthcare economics, benefits design, and/or data-driven decision making; you ask the right questions and never accept surface-level explanations
A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative leadership role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $250,000 - $280,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is looking for a Senior Partner Enablement Manager to own internal and external partner enablement and drive aligned GTM outcomes across our partner ecosystem. Reporting to the Sr. Director of Sales Enablement, you will design and deliver the training, certification, and enablement programs that connect Docker’s partner community — Channel partners, Hyperscalers (AWS, Azure, GCP), Global System Integrators, and Technology ISVs — to a shared, coordinated go-to-market motion.
Every program you build, every piece of content you ship, and every internal enablement session you run exists to accelerate GTM outcomes: more partner-sourced pipeline, stronger co-sell execution, and faster revenue through the ecosystem.
Docker’s partner ecosystem is a strategic growth lever, and AI Governance (AIG) is our primary co-sell motion. You’ll ensure every partner type understands Docker’s AIG value proposition, knows how to run joint sales plays, and is ready to engage customers alongside our field teams. Equally, you will serve as the internal GTM connector for Docker’s own sellers — equipping AEs, SEs, and CSMs with the partner playbooks, account mapping skills, and co-sell readiness they need to drive pipeline through the ecosystem. If you love building from scratch, orchestrating complex programs across diverse partner types, and making an entire ecosystem move toward a common GTM goal, this role is for you.
_______________________________________________________________________
RESPONSIBILITIES
External Partner GTM Enablement — Training & Certification
- Design, build, and continuously improve training and certification programs tailored to Docker’s partner community across Channel, Hyperscaler, G/SI, and Technology ISV partners — all anchored to enabling partners to execute Docker’s GTM motion.
- Develop role-based learning paths that give partners the product knowledge, messaging fluency, and technical depth they need to sell and support Docker effectively — with AI Governance as the primary GTM anchor.
- Leverage and extend Docker’s Accreditation Platform to scale partner certification, track completion, and recognize partner expertise across the ecosystem.
- Manage certification tracks end-to-end — from curriculum design and facilitation to assessment, badging, and ongoing recertification — tying completion to measurable GTM readiness.
External Partner GTM Enablement — Content & Programs
- Develop and maintain a library of partner-specific GTM content including joint sales plays, co-sell decks, competitive positioning, product overviews, and objection handling guides — all built to activate partners in the field.
- Partner with the Partner team to identify enablement gaps across each partner segment and build scalable programs to close them in service of shared pipeline goals.
- Own and administer Docker’s partner enablement infrastructure, with Impartner as the primary partner management and learning platform.
- Establish Impartner as a world-class partner portal — driving adoption, improving the partner experience, and continuously optimizing the platform for discoverability and GTM engagement.
- Partner with Product Marketing to translate new launches and messaging — especially around AIG — into partner-ready GTM materials that are accessible, timely, and field-tested.
Internal GTM Enablement — Enabling Docker’s Field to Win with Partners
- Own the internal side of partner GTM: equip Docker’s AEs, SEs, and CSMs to confidently work alongside partners and drive joint pipeline.
- Build and maintain “How to Win with Partners” resources for Docker’s field teams — covering account mapping, co-sell cadences, joint pipeline management, and partner engagement models tied to GTM outcomes.
- Build co-sell plays and joint sales materials that connect Docker’s AIG story to each partner type’s unique value proposition (e.g., Hyperscaler integrations, G/SI delivery models, Channel resell motions).
- Develop and deliver enablement on how to run effective account mapping sessions with partners — including preparation, joint prioritization, and follow-through.
- Support account mapping in Salesforce (SFDC) between Docker AEs and partner sales teams, ensuring the right structure and training exists to make joint pipeline sessions productive.
- Run internal enablement sessions on partner engagement models, referral and resell programs, and co-marketing strategies to drive joint pipeline and GTM velocity.
GTM Velocity & Impact
- Drive velocity in Docker’s partner program by ensuring partners are enabled, certified, and ready to engage customers at every stage of the sales cycle.
- Track partner readiness KPIs — including pipeline contribution, certification completion, co-sell engagement, and account depth — and tie every enablement investment to measurable GTM outcomes.
- Use partner performance data, completion metrics, and field feedback to identify gaps and continuously sharpen programs.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 5+ years of experience in partner enablement, channel enablement, or partner programs in a SaaS or technology company.
- Demonstrated ability to design and deliver scalable partner training and certification programs anchored to GTM outcomes — not just content management.
- Proven experience managing a partner portal or LMS — Impartner experience strongly preferred.
- Strong understanding of channel dynamics, co-sell motions, and partner ecosystem economics across Channel, Hyperscaler, and G/SI partner types.
- Experience building or supporting account mapping processes and joint pipeline programs between a vendor’s field team and partner sales organizations.
- Excellent communicator — able to engage and build credibility with both external partners and internal field stakeholders.
- Strong project management skills with the ability to manage multiple programs and deadlines simultaneously.
- Data-driven mindset — you use metrics to prioritize, measure, and connect enablement investment to GTM results.
STRONGLY PREFERRED
- Experience building partner enablement programs from scratch in a high-growth SaaS environment.
- Familiarity with Command of the Message or other structured sales methodologies.
- Exposure to AI, containerization, DevOps tooling, or developer platforms — Docker experience a significant plus.
- Experience enabling partners around a primary GTM motion or strategic product category (e.g., AI/ML, security, cloud infrastructure).
- Experience working cross-functionally with Sales, Marketing, Product, and Partner teams to align enablement with go-to-market priorities.
- Demonstrated ability to manage external relationships with partner stakeholders and influence GTM execution without direct authority.
_______________________________________________________________________
WHAT TO EXPECT
We believe in setting people up to win. Here’s what great looks like in this role:
FIRST 30 DAYS — LEARN & LISTEN
- Ramp on Docker’s platform, partner ecosystem strategy, and the current state of partner enablement across Channel, Hyperscaler, G/SI, and ISV segments — with a specific eye toward GTM alignment gaps.
- Audit existing partner programs, content, and the Impartner platform — understand what exists, what’s missing, and what partners actually need to execute Docker’s AIG GTM story.
- Build relationships with the Partner team, Sales leadership, and key partner stakeholders to understand the ecosystem’s GTM motion from the inside out.
FIRST 90 DAYS — TAKE OWNERSHIP
- Take full ownership of the Impartner platform — establish governance, improve the partner experience, and begin driving adoption tied to GTM engagement.
- Deliver the first partner training or certification module (with AIG as the GTM anchor) and gather field feedback to iterate.
- Launch at least one “How to Win with Partners” internal enablement resource and one account mapping framework for Docker’s field teams.
FIRST YEAR — DRIVE GTM IMPACT
- Operate a fully functioning partner enablement program with measurable readiness scores, certification completion rates, and partner-sourced pipeline contribution.
- Be recognized by the Partner team, partner community, and Docker’s field teams as the go-to resource for partner GTM enablement, co-sell readiness, and joint pipeline execution.
- Demonstrate clear linkage between partner enablement investment and partner-driven GTM outcomes — pipeline generated, quota retired, and account depth increased.
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada: CA$166,950 – CA$238,500 base
United States: $120,400 – $172,000 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Client Success Manager to join our Client Success team. This role will report to the Director of Client Success (mid-market). The Senior Client Success Manager plays a critical role in driving engagement, satisfaction, and retention across a high-volume mid-market book of business (100–999 lives). As the primary owner of day-to-day client and broker relationships, this role ensures clients realize ongoing value from Garner while proactively identifying risks and opportunities across the portfolio. By combining strong relationship management with disciplined execution and cross-functional partnership, this role directly impacts client success and long-term retention.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
What you will do:
Own and manage mid-market client and broker relationships across a high-volume book of business (50–60 accounts), ensuring a consistently high-quality client experience.
Deliver an exceptional client experience by executing key workflows, monitoring account health, and proactively addressing risks.
Track and analyze client success KPIs, translating insights into action plans that drive engagement and retention.
Develop and execute engagement plans aligned to client goals, ensuring timely delivery of all initiatives and commitments.
Manage multiple concurrent client projects with strong attention to detail, maintaining clear timelines, priorities, and deliverables.
Collaborate cross-functionally with Strategic Account Management, Sales, and Concierge (Member Services) to meet client needs, triage issues, and achieve engagement goals.
Lead client meetings and communications with key stakeholders and broker partners, providing education, insights, and actionable recommendations.
Represent the company in virtual and in-person client-facing sessions (up to 20% travel). Develop and deliver high-quality client reports, presentations, and educational sessions.
The ideal candidate has:
4+ years of experience managing a large, high-performing B2B book of business, with a proven track record of driving engagement, client satisfaction, and NRR; preferably in the healthcare and benefits industry.
Demonstrated client management expertise, including ownership of executive relationships and day-to-day account management, as well as navigating complex client and broker stakeholder environments.
Exceptional project management and organizational skills, with the ability to manage competing priorities and execute with precision and strong attention to detail.
Data-driven mindset, leveraging KPIs and client insights to proactively identify risks, optimize engagement, and drive measurable ROI.
Strong executive presence and communication skills (both written and presentation), with a proactive, solutions-oriented approach and a passion for delivering an outstanding client experience in a fast-paced environment.
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position (inclusive of Base + Commission) is $125,000 to $150,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing.
Key responsibilities
Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations
Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft
Know how to find and engage candidates who are passive through a variety of creative channels
Build trust with senior leaders, and have the confidence to push back with data
Write clearly and pay close attention to detail, because candidates and comms leaders will notice both
Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly
Turn hiring data into clear recommendations, not just status updates
Thrive in a fast-paced environment and handle executive and confidential searches with discretion
Preferred qualifications
Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles
Experience hiring for a high-growth technology company whose public narrative matters
A network across media, agency, and in-house communications talent
Experience supporting executive hiring
Experience using AI tools in your daily work, and are curious about where they can take recruiting next
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Englewood, United States
We're seeking a skilled, patient-focused
X-Ray Technologist
to join a thriving clinical team in
Englewood, NJ
. In this role, you will work directly with patients in a fast-paced environment, ensuring the highest standards of imaging quality, patient comfort, and radiation safety.
Whether you are an established outpatient specialist or a hospital-based technologist looking to transition into a dynamic outpatient orthopedic setting, we want to hear from you!
What You Will Do (Day-to-Day)
Perform high-quality X-rays
in strict accordance with physician orders and established clinical protocols.
Prepare and position patients
safely and accurately, ensuring optimal exposure while prioritizing patient comfort.
Operate and adjust
advanced X-ray equipment with precision.
Educate patients
on procedures, answering questions to ease anxiety and ensure compliance.
Maintain rigorous safety standards
, strictly adhering to patient and radiation safety protocols.
Manage documentation
, maintaining accurate patient records, imaging logs, and compliance files.
Oversee environment upkeep
, ensuring the X-ray room remains clean, sterile, and well-organized.
*
What We Are Looking For
Experience:
2–3+ years of hands-on X-ray experience.
Clinical Setting:
Strong background working directly with patients in a fast-paced clinical environment.
Technical Expertise:
Deep understanding of X-ray procedures, positioning, exposure factors, and equipment operation.
Soft Skills:
Exceptional communication, patient empathy, and customer service skills.
Independence:
Proven ability to work autonomously and efficiently.
Safety First:
Uncompromising commitment to radiation safety and patient care.
Preferred Plus:
1+ years of X-ray experience specifically within an
outpatient orthopedic clinic
.
*
Note to Hospital Techs: Candidates with strong hospital-based experience, excellent patient-facing skills, and a strong desire to transition to an outpatient orthopedic environment are highly encouraged to apply!
Compensation & Flexibility
Our starting range is
$32.00 – $40.00/hour
. However, we value exceptional talent. If your experience warrants a higher rate,
we encourage you to apply
and discuss your compensation expectations with us—we maintain flexibility for the right candidate.
Salary: $32 – $40 / hour
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.
Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.
Key responsibilities
Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Are curious about LLM serving; prior inference or ML experience is not required
Thrive in cross-functional collaboration with both internal teams and external partners
Have experience working with external partners to align goals and deliver impact
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
Solid understanding of multi-region deployments, geographic routing, and global traffic management
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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.
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 | 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
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.
This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.
Key responsibilities
Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have a strong interest in LLM serving; prior inference or ML experience is not required
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Thrive in cross-functional collaboration with both internal teams and external partners
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
LLM inference optimization, batching, and caching strategies
Capacity-constrained scheduling or shared-resource test infrastructure
Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to reliably serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers
Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Significant software engineering experience, particularly with distributed systems
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience with load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
Proficiency in Python or Rust
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$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.
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-Friendly, United States
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 a State and Local Affairs Lead to lead Anthropic's engagement with state and local governments across the Midwestern United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI.
In this role, you will work closely with Anthropic's other Regional State and Local Affairs Leads, as well as coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across the Midwest — engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region.
Successful candidates will demonstrate a track record of political strategy and execution — with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments.
Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive — grounded in honest assessment of technological trajectories and authentic concern for safe scaling — and we need a regional lead who can bring that positioning to life at the state and local level.
This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function.
Key responsibilities
Serve as Anthropic's lead for state and local government affairs across the Midwestern United States, working in close coordination with the other Regional State and Local Affairs Leads
Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region
Engage directly with local officials whose decisions affect Anthropic's work — mayors, city councils, county commissions, and economic development boards
Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions
Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts
Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI
Work with the Communications team to develop clear, accurate messaging for regional policy campaigns
Translate Anthropic's technical research and policy positions into engagement strategies tailored to Midwestern state political environments
Manage the outside advisors and registered lobbyists who support Anthropic's work in your region
Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning
Minimum qualifications
Align with our mission and embrace the imperative of policy impact and change
Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes
Have existing relationships with state and local leaders in the Midwest, including legislators, governors' offices, attorneys general, or county and municipal officials
Understand how state legislatures and executive branches work — committee processes, legislative and regulatory procedures, and how to move policy forward — and understand where local authority begins and ends
Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles
Are prepared to travel regularly across the region
Preferred qualifications
Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles
Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities
Have exposure to technology policy or emerging technology regulation; understand the unique challenges of navigating policy for rapidly evolving technologies
Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives
Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments
Can work well under time pressure and manage competing demands
Can translate complex technical topics into clear, accessible language for policymakers and residents alike
Have experience working with communications teams to develop effective messaging for policy campaigns
Are comfortable being honest about tradeoffs, including in rooms where people disagree with us
Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty
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:
$230,000
—
$265,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Toronto, Canada
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
A leading North American financial services provider operating across personal, commercial, wealth management, and capital markets sectors. Following recent strategic acquisitions, the top-tier bank has significantly expanded its international footprint. Now executing an "AI-first" strategy, the organization has launched a dedicated institute for applied AI and quantum computing to drive productivity and deliver hyper-personalized digital experiences for millions of global customers.
What You’ll Do
Serve as a subject matter expert in Metals trading, including precious and base metals.
Focus on physically settled metals transactions and related front-office workflows.
Gather, analyze, and document business requirements from traders and key stakeholders.
Clearly articulate scope, assumptions, and dependencies for requirements.
Analyze and understand the impact of upstream and downstream systems on business processes.
Collaborate with technology teams to identify and drive system enhancements supporting Metals trading activities.
Work closely with developers to ensure requirements are clearly understood and implemented correctly.
Support solution deployment and ensure successful adoption by business users.
Conduct data analysis to provide insights that support trading strategies and risk management.
Apply strong analytical and problem-solving skills to optimize processes and outcomes.
Partner closely with traders and stakeholders to ensure seamless operations and regulatory compliance.
Manage change requests and support structured change management processes.
Participate in testing activities, including test planning and execution.
Collaborate closely with business users during UAT to ensure solutions are thoroughly tested and meet business requirements.
Support quality assurance efforts to ensure high-quality, production-ready deliverables.
What You Bring
Proven experience in Metals trading, ideally with a focus on physically settled metals.
Strong understanding of banking and capital markets products and services related to commodities.
Demonstrated ability to gather, document, and manage business requirements.
Experience in change management and managing change requests.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Ability to collaborate effectively with developers, traders, and stakeholders.
Experience with Openlink Endur is a strong asset.
Experience in testing and quality assurance is a plus.
Detail-oriented mindset with a focus on high-quality deliverables.
Self-starter who thrives in a collaborative, team-based environment.
Nice to have
Experience working in front-office trading environments.
Exposure to complex trading system integrations and data flows.
Prior experience supporting UAT in capital markets platforms.
English level
Upper-Intermediate
Location:
Toronto (hybrid)
Legal & Hiring Information
Compensation Transparency: The expected compensation range for this role is $80-110/hr CAD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within Canada, and business needs.
Position Status: This posting is for a newly created position
Location Eligibility: This role is open to candidates residing in Canadian provinces, excluding Quebec.
Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. Canadian work experience is not required.
Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process.
Benefits Summary: Canadian employees are eligible to participate in Exadel’s benefits programs, which may include extended health, dental and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements.
Equal Employment Opportunity: Exadel is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, family status, or any other protected characteristic under applicable provincial human rights legislation.
Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with applicable accessibility and human rights legislation. If you require accommodation at any stage of the hiring process, please contact us.
The offer is not binding until a signed contract is in place
Our AI-Enabled Screening Process
As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know.
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
ГибридleadNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
УдалённоTirana
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
