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
ГибридleadNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
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: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We are looking for a Product Manager to join our Product team. You will own Vercel's networking and CDN product areas. Networking includes the service mesh, Perimeter, VPC connectivity, and Microfrontends. CDN includes the caching layer, traffic security through WAF and DDoS mitigation, domains, and general ingress. You will set direction for how applications and services connect securely, how traffic enters Vercel, and how content is delivered quickly and reliably around the world. You will report to the Product Lead and will be located in San Francisco, CA (hybrid).
If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team.
What you'll do
Own the product vision, strategy, and multi-year roadmap across Vercel's Networking and CDN product areas
Evolve existing Networking and CDN products (service mesh, Perimeters, Ingress, caching layer, Traffic security, WAF, DDoS mitigation, Domains) by defining new features and designing new product surfaces.
Define pricing for new products or features.
Partner with Engineering on the performance and reliability.
Work directly with Enterprise customers and the field on connectivity, networking, performance, and security requirements that block adoption or scale
What you need
You've built and shipped networking, CDN infrastructure, service mesh, or private connectivity products
You have the technical depth to reason about service-to-service networking, VPC connectivity, HTTP caching semantics, cache invalidation, TLS, DNS, and global request routing
You have experience with Layer 7 security products such as WAF, DDoS mitigation, or bot management
You understand the networking and routing challenges of composing independently deployed services into applications
You have owned multiple connected products and set direction that other product teams built against
You have experience working directly with Enterprise customers on networking, connectivity, and security requirements
You have experience using usage, reliability, and performance data to drive roadmap decisions
Bonus if you
Have worked at a cloud provider or on a serverless, container, or edge compute platform
Have an engineering background or have operated production network infrastructure
Have worked on products where incident response and postmortems are a regular part of the job
Have experience with compliance and security requirements in enterprise procurement
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: 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.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
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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.
Please notify us of any fraudulent representation by sending an email to
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Location: Dallas, United States
A rapidly expanding national commercial property services provider is seeking a high-performance
Account Manager
to spearhead their commercial pest control and property maintenance portfolio within the Greater Dallas area.
This position requires a refined blend of structured business-to-business (B2B) outside sales acquisition and high-yield strategic relationship management. Operating directly within the regional marketplace, you will serve as the consultative partner to Property Managers, Regional Supervisors, and Real Estate Ownership Groups to deploy high-value, contractual property compliance and maintenance strategies.
For an ambitious business development professional with an established commercial footprint, this role offers an exceptional uncapped earning trajectory within a robust regional corporate infrastructure.
Key Responsibilities
New Business Acquisition:
Execute proactive outbound prospecting, structured cold calling, and targeted local networking to secure long-term contractual agreements across the regional multifamily and commercial sectors.
Strategic Relationship Management:
Establish, cultivate, and scale deep relational alignments with key decision-makers, regional operational supervisors, and corporate real estate asset managers.
Pipeline Architecture:
Own and manage the end-to-end commercial sales cycle seamlessly, executing high-yield processes from initial warm/cold outbound engagement through to executive contract sign-off.
Value-Based Advisory:
Construct and deliver technically sound, ROI-driven service proposals that explicitly communicate financial yield, service superiority, and risk mitigation benefits.
Portfolio Expansion & Retention:
Partner continuously with current client networks to guarantee baseline contract renewals, defend existing portfolios against market attrition, and systematically cross-sell expanded facilities solutions.
Local Ecosystem Integration:
Represent the brand as a highly visible industry professional at the Apartment Association of Greater Dallas (AAGD) and affiliated commercial real estate networking functions.
Data Infrastructure Maintenance:
Maintain flawless, real-time pipeline reporting, transactional progression logs, and corporate communications tracking within Salesforce CRM environments.
Position Requirements
Professional B2B Experience:
Minimum of two (2) years of verifiable corporate business-to-business outside sales experience. Prior technical tenure within structural pest control, commercial facilities maintenance, or B2B property services is mandatory.
Quota Achievement:
A documentable professional history of consistently achieving or outperforming defined financial quotas, net revenue expansions, and gross profit benchmarks.
Core Sales Methodologies:
Advanced proficiency in strategic outbound hunt mechanics, enterprise-level gatekeeper navigation, multiline pipeline orchestration, and closing multi-site corporate agreements.
Executive Communications:
Exceptional command of verbal and written communication, with the professional presence required to deliver boardroom presentations to executive real estate leadership.
Modern Technical Proficiency:
Expertise navigating complex CRM ecosystems (Salesforce preferred), field data tablets, and standard professional software suites.
Territorial Mobility:
Possession of a valid driver's license with a clean driving record and the daily capacity for territorial travel across the Greater Dallas geographic footprint.
Preferred Qualifications
Industry Infrastructure:
Direct sales exposure interacting directly with multifamily housing operations, commercial asset portfolios, or regional real estate networks.
Regional Professional Network:
Existing corporate relationships with Dallas-area property management companies or active professional tenure within the Apartment Association of Greater Dallas (AAGD).
Recurring Revenue Knowledge:
Prior experience structuring and securing service-based contracts built around recurring contractual pipelines.
Compensation, Benefits & Corporate Structure
Base Remuneration:
$55,000 predictable annual base salary.
Performance Incentive:
Highly competitive, uncapped, performance-engineered commission structure designed to maximize earnings for high-performing acquisitions professionals.
Health Infrastructure:
Comprehensive corporate healthcare options including medical, dental, vision, and company-sponsored life insurance programs.
Retirement Planning:
Structured 401(k) company matching framework with a standard 90-day onboarding full vestment schedule.
Paid Leave Framework:
Flexible Paid Time Off (PTO) allocation complemented by structured parental and extended medical leave provisions.
Corporate Tools & Account Coverage:
Complete expense allocation providing full reimbursement for territory mileage, client entertainment, asset tools, and professional association association fees.
Continuous Professional Track:
Collaborative, feedback-rich environment featuring clear pathways for continuous professional upward mobility.
Benefits:
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off
Parental leave
Vision insurance
Experience:
Sales: 2 years (Required)
Pest control: 1 year (Required)
Location:
Dallas, TX 75244 (Required)
Salary: $55,000+ / year
Location: Austin, United States
Location:
Austin, TX 78701
Hire type:
Full-Time
Shift:
No Shift Specified
Pay Range:
$50k - $55k /yr
Account Manager – Commercial Property Pest Control
B2B Sales | Multifamily Portfolio | Greater Austin Area
**Position Summary: **Our client, a rapidly expanding commercial property services provider, is seeking a dynamic Account Manager to spearhead their multifamily and pest control division in
Austin, TX
.
This role perfectly balances a hunter mindset with high-impact relationship management. In this position, you will partner directly with Property Managers, Regional Supervisors, and ownership groups across the
Greater Austin area
to deliver high-value, ROI-driven property management solutions.
If you are a competitive sales professional who thrives on closing new accounts, capturing market share, and cultivating long-term local alignment, this opportunity provides a lucrative uncapped earning platform in a booming regional economy.
Key Responsibilities
Drive New Business:
Prospect, cold-call, and network to secure premium B2B accounts within the
Greater Austin
multifamily sector.
Nurture Relationships:
Build deep, trusted partnerships with local property management decision-makers, regional supervisors, and real estate ownership groups.
Own the Sales Cycle:
Manage the full commercial sales pipeline seamlessly from cold outbound prospecting through structured contract execution.
Present Economic Value:
Deliver compelling, value-based proposals that explicitly showcase service superiority and bottom-line financial impact.
Expand Existing Accounts:
Proactively engage current client portfolios to maintain excellent retention metrics and cross-sell supplementary services.
Network Locally:
Represent the brand at
Austin Apartment Association (AAA)
events and maintain an active, highly visible presence within the local multifamily ecosystem.
Track Performance:
Maintain rigorous, real-time pipeline activity tracking, accurate forecasting, and key account information within Salesforce.
Position Requirements
B2B Sales Experience:
Minimum of two (2) years of proven business-to-business sales experience, specifically within the pest control industry.
Track Record:
Demonstrated history of consistently hitting or exceeding defined revenue quotas and gross profit targets.
Core Sales Skills:
Strong competency in cold calling, outbound prospecting, account navigation, and closing multi-site agreements.
Communication:
Excellent verbal and written communication skills with the absolute confidence to pitch to property-level staff and executive corporate suites.
Tech Savvy:
Proficient execution using CRM infrastructure, iPads, modern sales productivity apps, and standard tech suites.
Mobility:
Willingness and capacity to travel daily throughout the assigned
Greater Austin
geographic territory.
Preferred Qualifications
Industry Background:
Direct sales experience navigating the multifamily housing, property management, or commercial real estate space.
Local Network:
Existing relational network with
Austin-area
property management operations, ownership networks, or active professional tenure within the
AAA
.
Business Model:
Prior experience working with service-based offerings centered on contractual, recurring revenue pipelines.
Compensation, Benefits & Culture
Base Compensation: $50,000 -
$55,000
predictable annual base salary.
Commission Potential:
Highly competitive, uncapped commission structure engineered to reward top-tier performers.
Health Infrastructure:
Comprehensive medical, dental, vision, and foundational life insurance options.
Retirement Planning:
401(k) company matching program fully vesting after 90 days of employment.
Time Off:
Flexible Personal Time Off (PTO) package alongside structured maternity, paternity, and extended family leave models.
Tools & Expenses:
Complete corporate travel and expense coverage covering all territory mileage, client entertainment, and local association fees.
Professional Growth:
A highly collaborative, feedback-rich environment featuring continuous leadership development and career trajectory opportunities.
You should be proficient in:
Territory Sales
Business-to-Business (B2B)
Salary: $50,000 – $55,000 / year
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: Boston, MA
Workplace: OnSite
At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.
WHOOP is hiring an Associate Director of Design Research to lead and scale the Design Research practice at WHOOP. This role will oversee Design Research, shaping how user feedback and experiences inform product innovation from early-stage insights to pre-launch validation studies to post-launch feedback. As a people-first leader, you will balance strategic direction, team development, and leadership evangalism—ensuring research rigor, creativity, and impact across the product lifecycle.
RESPONSIBILITIES:
- Provide strategic leadership for the design research team, ensuring alignment with key stakeholders and organizational priorities.
- Evangelize the importance of user insights and the role of design research in the product and hardware development lifecycle to WHOOP senior leadership.
- Scale research impact, working closely with cross-functional leaders to identify opportunities for research and set expectations for mixed-methods research, ensuring research is positioned as a critical input to decision-making.
- Partner closely with senior team members to review research needs, assess tradeoffs, and guide prioritization and research direction.
- Manage, coach, and develop a team of design researchers, fostering strong research craft, clear communication, and professional growth.
- Own relationships with external research vendors, including scoping projects, defining success criteria, and ensuring high-quality execution.
- Build a strong, cross-functional “voice of the member” for product decision-making in partnership with Consumer Insights, Analytics, and Membership Services.
QUALIFICATIONS:
- Bachelor’s degree in a relevant field such as human factors, design research, user experience research, design anthropology, psychology, or a related discipline.
- 5+ years of experience conducting user research for physical products, ideally within hardware, health, or consumer product environments.
- 5+ years of people management experience, including coaching, feedback, and performance development.
- Strong mixed-methods research background, with demonstrated application of qualitative and quantitative approaches to real-world products.
- Experience working within or alongside hardware development lifecycles (not software-only).
- Experience managing or partnering with external research vendors, including project scoping and execution.
- Ability to manage multiple workstreams, navigate ambiguity, and influence without direct authority across cross-functional teams.
- Excellent written, verbal, and presentation skills, with the ability to communicate complex insights to executive audiences.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
*This role is based out of our Boston, MA headquarters and requires work onsite Monday-Friday.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $140,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: New York, New York, United States
About the Role
iCapital is seeking a Head of Content Strategy to lead and scale the firm's global content vision during its next phase of growth. This individual will develop a unified content strategy that strengthens iCapital's position across investment management, wealth management, and financial technology while expanding the firm's thought leadership across its growing platform of solutions. Working closely with executive leadership and senior subject matter experts, the successful candidate will translate complex industry insights into compelling content that informs, differentiates, and drives engagement. This leader will establish the editorial standards, governance structures, and operating model needed to deliver high-quality content at scale. Combining strategic leadership with hands-on content expertise, they will play a critical role in elevating iCapital's brand, market presence, and commercial impact.
Responsibilities
Develop and lead a multi-year content strategy and scalable messaging architecture that positions iCapital at the intersection of investment management, wealth management, and financial technology while supporting global and regional growth opportunities.
Build, lead, and mentor a high-performing content organization, including agency and external partner relationships, while establishing the workflows, governance structures, and resourcing models needed to operate efficiently at scale.
Translate complex financial and business concepts into compelling, audience-centric narratives across investment management, private markets, structured investments, ETFs, annuities, life insurance, and evolving platform capabilities.
Develop, write, edit, and oversee content across formats including thought leadership, executive perspectives, educational content, research distribution, presentations, newsletters, podcasts, video, digital content, and emerging channels.
Establish editorial standards, content governance frameworks, publication processes, editorial calendars, tone-of-voice guidelines, and audience-specific messaging to ensure consistency, quality, and regulatory compliance across the organization.
Partner closely with executive leadership, investment professionals, senior subject matter experts, Product Marketing, Brand, Digital, Social, PR, Events, Compliance, and international business teams to align content strategy with business priorities and market opportunities.
Expand content visibility and distribution through multi-channel programs, SEO and answer engine optimization (AEO), paid, owned, and earned media, strategic content partnerships, industry relationships, and emerging platforms.
Represent iCapital's thought leadership strategy through conferences, partner events, media relationships, executive presentations, and other initiatives that strengthen market presence and brand credibility.
Qualifications
15+ years of experience leading content strategy, editorial, thought leadership, or content marketing functions within financial services, investment management, wealth management, fintech, or a related industry
Bachelor's degree is required; advanced degree in finance, economics, journalism, communications, or a related field is preferred
Demonstrated success developing and executing enterprise-wide content strategies across multiple audiences, channels, formats, and global markets while delivering measurable business outcomes
Deep understanding of financial markets and experience partnering with portfolio managers, research analysts, strategists, economists, and other investment professionals to translate complex concepts for diverse audiences
Exceptional writing, editing, storytelling, and content development capabilities across long-form, short-form, and multimedia formats, with the ability to operate as both a strategic leader and hands-on practitioner
Proven ability to build and scale teams, establish content governance frameworks, manage complex projects, and lead multiple concurrent initiatives in fast-paced environments
Strong stakeholder management, communication, and influencing skills with a track record of advising senior executives, building trusted partnerships, and aligning cross-functional teams around shared objectives
Data-driven mindset with expertise in content performance measurement, analytics, SEO, AEO, content distribution, and optimization across digital, social, email, video, PR, paid media, and events
Benefits
The base salary range for this role is $215,000 to $300,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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: New York, New York, United States
About the Role
iCapital is looking to hire a Head of Research and Market Development to build and lead iCapital's market intelligence function, delivering actionable insights across private markets, wealth management, and financial technology. This role combines market research, client and advisor insights, competitive intelligence, and business analysis to inform strategic decision-making across Product, Marketing, Sales, Distribution, Corporate Development, and executive leadership. This individual will translate complex market dynamics into clear recommendations that strengthen iCapital's competitive position, identify growth opportunities, and support long-term business expansion. Working across global teams and external partners, this individual will establish the frameworks, governance, and reporting capabilities needed to scale a best-in-class market intelligence function. This role will serve as a trusted advisor to senior leadership while advancing iCapital's position as a thought leader in the evolving wealth and alternatives landscape.
Responsibilities
Build and lead a centralized market intelligence function, including its vision, operating model, governance framework, roadmap, and long-term team structure.
Develop scalable research, reporting, dashboards, executive briefings, and knowledge-sharing resources that support enterprise-wide decision-making.
Serve as the firm's central resource for market research, client and advisor insights, competitive intelligence, market development initiatives, and external research relationships.
Monitor market, competitive, regulatory, and industry trends across investment management, wealth management, financial technology, private markets, hedge funds, structured investments, insurance, retirement, and advisor distribution.
Produce market landscape assessments, opportunity analyses, adoption studies, and business intelligence that inform strategic planning and commercial priorities.
Partner with Product, Marketing, Sales, Distribution, Corporate Development and Strategy, and international business leaders to inform product strategy, positioning, messaging, growth initiatives, and expansion opportunities.
Identify emerging market opportunities, competitive whitespace, partnership opportunities, and evolving client needs that support innovation and platform differentiation.
Design and lead primary research initiatives while delivering executive presentations, strategic recommendations, and thought leadership that promote market awareness and data-driven decision-making across the organization.
Qualifications
15+ years of experience in market research, market intelligence, strategy, consulting, business insights, or related functions within financial services, wealth management, asset management, alternatives, or fintech
MBA or equivalent advanced degree is preferred
Proven experience building, scaling, and leading market intelligence, market development, strategic insights, or research organizations
Deep understanding of private markets, alternative investments, advisor distribution, wealth management, portfolio construction, and related investment products and platforms
Strong analytical, strategic, and problem-solving skills with the ability to synthesize complex data, market dynamics, and business trends into actionable recommendations
Demonstrated success influencing senior executives, advising cross-functional stakeholders, and driving enterprise-wide initiatives
Exceptional written, verbal, and presentation skills with experience delivering executive-level insights and recommendations
Experience leveraging market research, competitive intelligence, analytics platforms, and external industry relationships to support business growth and decision-making
Benefits
The base salary range for this role is $190,000 to $215,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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: New York, New York, United States
About the Role
iCapital is looking to hire a Senior Content Producer Vice President to join the Communications team. This role serves as a strategic partner, developing content that translates complex market developments, investment strategies, and industry trends into engaging narratives for advisors, institutional investors, and private wealth audiences. This role blends financial expertise, editorial leadership, and storytelling to create high-impact content across video, digital, social, podcast, event, and written channels. The ideal candidate brings strong editorial judgment, a newsroom mindset, and a deep understanding of financial markets and the evolving wealth management landscape. As investors continue to expand beyond traditional stocks and bonds, this individual will help communicate the ideas shaping modern portfolios, including private markets, alternative investments, and other specialized solutions. This individual will play a key role in strengthening iCapital's thought leadership and position as a trusted voice in wealth management.
Responsibilities
Lead editorial planning, guest strategy, and content development for flagship franchises, including, The Bridge, original series, special programs, as well as brand and marketing content through execution.
Develop content aligned with market trends, investment themes, business priorities, product launches, and thought leadership initiatives.
Monitor financial markets, industry developments, and news cycles to identify timely content opportunities.
Translate complex investment concepts into clear, engaging content across multiple formats and audiences.
Research, recruit, and prepare industry leaders, executives, and subject matter experts for content initiatives.
Create interview briefs, talking points, scripts, articles, executive communications, and social-first content.
Translate long-form financial content into engaging social-first video and promotional content that extends its reach across platforms.
Partner with Investment, Production, Creative, Communications, and Marketing teams throughout the content lifecycle.
Provide editorial direction from concept through post-production.
Support executive thought leadership and content that helps advisors navigate an increasingly sophisticated investment landscape.
Maintain a newsroom mindset that balances speed, accuracy, editorial rigor, and business impact.
Qualifications
10+ years of experience in financial journalism, investment content, business media, editorial production, wealth management, asset management, or a related field
Deep understanding of financial markets, portfolio construction, private markets, alternative investments, and wealth management
Proven experience developing editorial programming, booking high-profile guests, and managing executive relationships
Exceptional writing, editing, storytelling, and communication skills
Strong editorial judgment and understanding of audience engagement across platforms
Demonstrated experience developing and scaling long-form financial content franchises across written, video, podcast, event, and executive thought leadership channels
Experience developing social-first video and adapting long-form financial content for YouTube and other digital and social platforms
Benefits
The base salary range for this role is $150,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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.
УдалённоTirana
Hybrid - San Francisco
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