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: 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.
_______________________________________________________________________
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.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$166,950 – CA$238,500 + equity
United States: $120,400 – $172,000 + equity
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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.
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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 | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.
Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.
Key responsibilities
Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Are curious about LLM serving; prior inference or ML experience is not required
Thrive in cross-functional collaboration with both internal teams and external partners
Have experience working with external partners to align goals and deliver impact
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
Solid understanding of multi-region deployments, geographic routing, and global traffic management
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.
Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.
This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.
Key responsibilities
Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability
Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads
Minimum qualifications
Have a strong interest in LLM serving; prior inference or ML experience is not required
Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
Thrive in cross-functional collaboration with both internal teams and external partners
Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description
Preferred qualifications
LLM inference optimization, batching, and caching strategies
Capacity-constrained scheduling or shared-resource test infrastructure
Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
Proficiency in Python or Rust
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to reliably serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers
Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Significant software engineering experience, particularly with distributed systems
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience with load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
Proficiency in Python or Rust
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Andorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.
Responsibilities
Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.
Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.
Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.
Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.
Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.
A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.
Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.
Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.
Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.
Deep understanding of the math and structure behind Diffusion Models and Vision Transformers
Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United States
Workplace: Remote
About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s.
What you'll do:
- Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards.
- Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships.
- Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time.
- Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface.
- Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them.
- Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended.
- Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it.
- Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it.
What you'll bring:
- 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product.
- Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it.
- A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why.
- Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online.
- Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines).
- Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result.
- Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency.
- Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints.
Compensation:
The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma's Business Development & Partnerships team aims to advance our company goals by working with partners to augment product experiences, drive user engagement, accelerate user and revenue growth, distribute our products and services, and raise brand awareness. As Figma's product portfolio and user base continue to evolve, the team plays a critical role in connecting our platform to a broader network of builders, developers, and solution partners.
We're looking for a thoughtful people leader and product partnerships operator to help scale the impact of our growing team. Reporting to the Director of Product Partnerships, you will initially lead a small, growing team of Partner Managers responsible for product-area portfolios and scaled programs. You will translate Product Partnerships priorities into clear portfolio plans, coach the team to deliver excellent partner outcomes, and build the operating rhythms, standards, and cross-functional alignment that allow the organization to scale. This role is ideal for someone who combines strong people leadership with product judgment, operational rigor, and a track record of bringing complex technology partnerships to life.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Lead, coach, and develop an initial team of 3-5 Partner Managers who own product-area portfolios and scaled partnership programs; set clear expectations, provide actionable feedback, and support strong performance and career growth
Partner with the Director of Product Partnerships to translate organization-wide strategy and priorities into focused portfolio plans, resource allocation decisions, and measurable goals for the team
Create leverage across the organization by ensuring Partner Managers can independently drive day-to-day partner strategy, execution, communications, and decision-making, while maintaining a high and consistent quality bar and communication about their work
Oversee the health and impact of the team's partner portfolio, helping partner managers prioritize the highest-value opportunities and guide strategy, unblock complex workstreams, and navigate risks, tradeoffs, and escalations
Build strong relationships with leaders across Product, Engineering, Design, Marketing, Sales, Research, Operations, Finance, and Legal to align partnership priorities with company and product goals
Define and track portfolio-level success metrics, review progress with the team, and deliver concise business updates to Partnerships leadership and cross-functional stakeholders
Serve as the primary point of escalation and step into the highest-leverage partner moments when leadership, negotiation support, escalation management, or cross-functional alignment is needed, while preserving clear ownership for the Partner Manager
Help evolve the Product Partnerships organization as it grows by improving processes, clarifying roles and decision rights, and supporting hiring and onboarding for new team members
We’d love to hear from you if you have:
12+ years of experience in partnerships with predominant focus in product partnerships or ecosystem partnerships, and 3+ years of direct people management experience, with a track record of hiring, coaching, and developing high-performing teams
The ability to define strategy, plan, prioritize, build cross-functional alignment, execute efficiently on long-term, cross-functional projects, and iterate alongside product, GTM, and executive teams
Excellent communication and negotiation skills, including the ability to structure frameworks, initiate an action plan, and lead complex, first-of-their-kind, technical partnerships and negotiations
Technical depth; experience contributing to and influencing product strategy, roadmap, and execution as well as analyzing data to build and share insightful business recommendations
A demonstrated ability to execute on short term business needs in tandem with driving strategic decisions that align with the broader company and partnerships roadmap
While it’s not required, it’s an added plus if you also have:
Proven ability to create and implement product partnership strategies in enterprise SaaS
Track record of building partnership processes, programs, or teams during periods of rapid company or product growth
Demonstrated success leading teams that manage both high-touch product partnerships and scaled ecosystem programs
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$185,000
—
$317,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Paris; Zurich; Warsaw; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE RESEARCH ENGINEERING TEAM
The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.
As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:
- Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or
- Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.
What You Will Do
• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Vibe and our enterprise API.
What We're Looking For
• Master’s or PhD in Computer Science (or equivalent proven track record).
• 4 + years working on large-scale ML codebases.
• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
• Strong software-design instincts: testing, code review, CI/CD.
• Self-starter, low-ego, collaborative.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Freeport, United States
About the Opportunity
We are seeking an experienced, results-driven
Operations Manager / Project Manager
to take full ownership of commercial concrete restoration, waterproofing, and exterior building envelope repair projects. This is an active, on-site field leadership position. You will oversee projects from initial preplanning and scheduling through execution, financial tracking, and final closeout.
As a core member of the management team, you will be accountable for field results. You will directly manage multi-faceted project sequences and lead up to 20+ field personnel and site leads. If you are a disciplined construction professional who thrives on hands-on coordination, real-time decision-making, and strong quality control, we want you on our team!
Key Responsibilities
Preplanning & Setup:
Review contracts, drawings, and specifications. Perform structural and architectural plan reading. Build, update, distribute, and drive project schedules using Microsoft Project. Set up, manage, and ensure project documentation in Procore. Plan labor, material, equipment, and sequencing. Lead meetings, organize activities, and report project progress to stakeholders.
Work in Place (Execution):
Manage, assign, and guarantee day-to-day field operations and work-in-place activities. Responsible to make sure that the delivery of concrete restoration work is completed in alignment with plans and specifications. Plan, adapt, and drive daily schedules accounting for delays, weather, trade coordination needs, or changes. Enforce strong QA/QC processes with in-progress inspections.
Resource & Labor Management:
Manage and report labor productivity, onsite material handling, storage, and utilization. Manage equipment rentals. Directly lead, mentor, and coordinate a field workforce of 20+ leads and personnel.
Financial & Contract Management:
Track budgets, costs, and forecasts. Manage change orders and pay applications. Ensure compliance with contract requirements. Maintain accurate reporting and cost controls.
Project Closeout:
Drive punch list completion and final inspections. Deliver closeout documents and warranties. Finalize project financials and reporting.
Qualifications
Experience:
5+ years of progressive experience managing commercial concrete restoration, waterproofing, or building envelope projects.
Leadership:
Proven track record leading self-performing, hands-on field teams and managing 20+ field personnel and key leads.
Technical Skills:
Advanced proficiency in reading and interpreting structural and architectural plans. Strong understanding of construction budgets, cost controls, and contract management.
Software:
Proficiency in Microsoft Project, Excel, Word, Outlook, and Procore.
Languages:
Bilingual (English/Spanish) is highly preferred.
WHY APPLY?
True Project Ownership:
You aren't just sitting behind a desk. This role gives you the autonomy to drive high-impact, multi-faceted commercial restoration projects from the initial planning stages all the way to the final handshake.
Direct Seat at the Table:
As a vital member of the management team, your field expertise directly influences company operations, strategic scheduling, and project execution models.
Stability & Specialization:
Step into a specialized market sector (concrete restoration and building envelopes) where high-quality field leadership is highly valued and continually in demand.
Dynamic Work Environment:
Work with a team-first, disciplined organization that prioritizes proactive quality control, strong field support, and clear stakeholder communication.
Location: Remote UK
Workplace: Remote
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com.
We are looking for a results driven Account Manager to join our Commercial team! In this role, you will manage a portfolio of around 30-40 accounts, focusing on retention while identifying opportunities for growth and incremental ARR. The ideal candidate will have 1-3 years of experience as an Account Manager or Renewals Specialist, with a proven ability to foster relationships and expand account spend.
At this time, we're prioritizing folks who live in the UK.
What you'll be doing
- Manage a portfolio of customer accounts and renewals with a focus on customer obsession and high retention and satisfaction levels.
- Lead the renewal process for each account, ensuring customers needs are met, checkins are scheduled and commercial terms align with customer needs and expectations.
- Identify and implement growth opportunities within your accounts to drive incremental revenue growth. Identify new use cases and new groups that can get value from additional capabilities.
- Build and maintain strong relationships with key stakeholders within each account.
- Collaborate with cross-functional teams (Sales, Support, Marketing, etc.) to enhance customer experience and maximize value.
- Monitor account health and proactively address potential risks to retention and growth.
What we're looking for
- 1-3 years of experience as an Account Manager or Renewals Specialist, with a focus on driving renewals and growth.
- Proven ability to manage +50 accounts while balancing renewals and identifying expansion opportunities.
- Strong communication, negotiation, and relationship building skills.
- Self motivated with the ability to work independently and as part of a team.
It’s a plus if you have
- Experience selling open source/SaaS
- Experience in NoSQL data technologies or other modern data platforms
- Experience selling enterprise management solutions (Systems Management, Cloud Management, log analytics, APM, Network Monitoring)
- Proficiency in another language such as French, or Italian
Interview Information:
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
Our Core Values
Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:
- We value each other
- We get stuff done
- We believe humility drives learning
- We embrace failure
- We are committed to open source
Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData.
To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.
Location: United States
Workplace: Remote
THE ROLE
ClickHouse is the fastest, most resource-efficient open-source database for real-time analytics, and ClickHouse Cloud is growing across every region and segment. Our Solution Architects (SAs) are the technical heart of that growth: They run the proofs of concept, defend the architecture, and win the room against the largest data platforms in the world.
You will be the single owner of global technical sales enablement and SA onboarding at ClickHouse. You are integral in deciding what a ClickHouse SA needs to know, say and do in order to be successful, and you wholly own the build out of the programs to get them there. You will measure everything, incorporate AI, and drive real results that time to revenue impact. You are the connective tissue between Product, Product Marketing, Sales leadership, SA leadership, and the field.
This is a Principal-level individual contributor role. You lead through influence, the systems you build, and the credibility you earn.
WHAT YOU'LL OWN
GLOBAL SA ONBOARDING
- Design and run the end-to-end onboarding program for new SAs across AMER, EMEA, and APJ. These include but are not limited to: Technical foundations, ClickHouse architecture and internals, demo and POC craft, discovery and objection handling, competitive positioning, and our sales process.
- Define and certify ramp. Set clear 30/60/90-day milestones, build the certification and shadow-to-lead progression, and publish time-to-productivity as a metric leadership can see and trust.
- Make onboarding regionally real. Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones.
TECHNICAL SALES ENABLEMENT STRATEGY AND EVERBOARDING
- Own the global technical enablement plan and its calendar. This includes the quarterly priorities, the programs behind them, and the communication that keeps SA and Sales leadership aligned on what is shipping and why.
- Run product-launch readiness for the field. Partner with Product and PMM so SAs have talk tracks, demo environments, hands-on labs, and competitive positioning before General Availability.
- Build the competitive and architecture curriculum. Deep dives, battlecards, and objection-handling playbooks against the platforms we meet most (cloud data warehouses, search and observability stacks, and incumbent OLAP systems).
- Extend enablement to adjacent technical roles as needed: Account Executives on technical fundamentals, Support on the sales motion, and partners on positioning.
DIAGNOSE, THEN PRESCRIBE
- Start from signals, not requests. Use call recordings, CRM data, win/loss, POC outcomes, certification results, and conversations with SA leaders to find the skill gaps that actually cost us deals, then classify and prioritize them with data.
- Pick the right modality for the gap: hands-on lab, self-serve path, live workshop, AI role-play, peer teaching, or in-the-moment coaching. Measure behavior change and deal outcomes.
- Close the loop. Systematically capture what is breaking in the field (friction, lost deals, recurring objections) and route it to Product, PMM, and Sales leadership as actionable recommendations.
BUILD AT SCALE
- Own the enablement toolchain: the LMS or learning hub, content repositories, certification tracking, and reporting. Keep a single source of truth for what is current.
- Activate SME communities. Identify and support the SAs who are already the best at something, and give them the structure to teach it peer-to-peer across regions.
STAY IN THE FIELD
- Spend roughly 10% of your time in customer-facing moments by joining POCs, account reviews, and live coaching.
- Facilitate. You will personally deliver live sessions, virtually and in person, at onboarding cohorts, regional kickoffs, and Kickoff events.
OPERATE LIKE AN OWNER
- Report on readiness. Define the KPIs (ramp time, certification rates, POC win rate, technical win contribution, workshop effectiveness) and present them in monthly and quarterly business reviews.
- Manage the portfolio. Run multiple programs in parallel, protect the plan from ad-hoc drift, and say no with a reason and an alternative.
- Expand the charter. This role will grow, potentially into hiring and leading a team, owning SKO technical tracks, partner enablement, or a technical certification program for customers.
WHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR
- Every new SA worldwide goes through one global onboarding program with a defined ramp, and time-to-first-solo-POC is measured and trending down.
- SAs are enabled on every major launch before GA, with demo environments and competitive positioning ready on day one.
- Technical enablement priorities are set from field data and reviewed with SA and Sales leadership on a fixed cadence, and leadership can point to the deals and metrics that moved.
- A living competitive and architecture curriculum exists, is current, and is used by SAs and, increasingly, by AEs.
- SA leaders describe you as part of their extended leadership team, not a service desk.
WHAT YOU BRING
REQUIRED
- 3+ years in a quota-carrying role. You have owned a number as an Account Executive, quota-carrying Solutions Engineer, or equivalent, and you know what it feels like when the quarter is on the line.
- 8+ years total across solutions engineering, technical pre-sales, or technical enablement at an enterprise software or data infrastructure company, including experience building and running enablement or onboarding programs.
- Deep hands-on data fluency: strong SQL, knowledge of OLAP/analytical databases, data warehousing architectures, streaming and ingestion pipelines, and at least one major cloud. You can run a demo, debug a lab, and read a query plan.
- You have been the engineer in the room. You have run POCs, handled objections live, and defended a technical position against a well-funded competitor.
- Proven program design and delivery: Needs analysis, curriculum design, facilitation (virtual and in person), certification, and measurement for a technical, global audience.
- A self-starter with a bias for building. You create the plan when there is none, you ship version one before it is perfect, and you improve it from evidence.
- Leads through influence. You can secure sponsorship from VPs, align cross-functional peers, and hold the field to a standard without a reporting line.
- Data-driven and operational: comfortable pulling your own CRM and call-intelligence reports, defining KPIs, and debating the numbers with stakeholders.
- Exceptional communicator. You make complex technical concepts accessible without dumbing them down, in writing and on stage.
- Global mindset. Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time.
NICE TO HAVE
- Hands-on experience with ClickHouse.
- Experience at a high-growth infrastructure company through a major product launch or rapid SA headcount expansion.
- Background in both pre-sales and post-sales technical roles.
- Demonstrated use of AI tooling to automate content creation, build internal tools, or scale enablement beyond live delivery.
- Familiarity with a structured sales methodology (MEDDPICC, Command of the Message, or similar) and with adult-learning or instructional-design principles.
- Experience building SME networks, peer-learning cohorts, or technical certification programs.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems.
ROLE
We’re looking for a Senior Security Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide variety of topics:
- Security Engineering & Guardrails: Architect, construct, and maintain automated security guardrails and paved paths to foster secure-by-default development environments.
- Shift-Left Architecture Guidance: Collaborate with development teams during the early ideation and design phases to embed secure coding practices and architecture from inception.
- Continuous & Automated Assessment: Develop automated, continuous assessment capabilities that replace manual reviews and scale seamlessly across the business unit.
- Hands-on Code Contribution: Work directly alongside engineers to contribute code for security fixes and paved-path solutions, ensuring security remains the simplest route.
- Self-Service Tooling: Partner with developers to build scalable, self-service security tools that empower teams to detect and remediate risks independently.
- Preventive & Detective Controls: Implement robust preventive and detective controls to deliver ongoing assurance rather than point-in-time security checks.
- Strategic Collaboration & Incident Response: Drive long-term security strategy with key stakeholders while actively participating in periodic on-call rotations for incident support.
- AI-Driven Security Innovation: Utilize AI technologies and methodologies to streamline threat detection, accelerate security evaluations, and advance scalable system protection.
PROFILE (MUST HAVE)
- 5+ years of experience troubleshooting systems, analyzing logs, and automating complex tasks via command-line tools
- 5+ years of experience identifying security vulnerabilities, assessing risks, and constructing mitigation strategies
- 5+ years of hands-on experience with scripting, software development, and security-focused code reviews across standard programming languages
- Demonstrated expertise in recognizing industry-standard security vulnerabilities, understanding threat vector patterns, and applying effective remediation techniques
- Proven track record in a leadership or guidance role, such as a technical lead, mentor, or engineering team lead
- Proficiency in applying threat modeling and comprehensive risk identification methodologies
- Proven track record securing microservices, service-oriented architectures, and web services
- Experience with identity provider servers and authentication protocols (such as OAuth2, OIDC, SAML)
- Experience with penetration testing (pentest) and vulnerability assessments
- Self-starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast-paced environment.
PROFILE (NICE TO HAVE)
- Advocate for security standards with clarity and empathy.
- Familiarity with AI/ML workflows and agents.
OUR STACK
Terraform, Kubernetes, Prometheus, ArgoCD, CircleCI, GitHub Actions, Atlantis, Grafana, Claude Code, Trivy, Conftest / OPA, AWS IAM Identity Center (SSO), Okta, AWS Secrets Manager, AWS KMS, AWS WAFv2, AWS Shield, AWS ACM, AWS GuardDuty, Sealed Secrets, Kyverno, cert-manager
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Amsterdam, Netherlands; London, United Kingdom
At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We’re honored that more than 11 million users consistently choose our tools. We’re particularly proud to call 88 Fortune Global Top 100 companies our valued customers.
Major responsibilities
Own and run company-level external communications. Protect and grow the company's reputation, take a defined strategic narrative to market, close the known US visibility gap, build thought leadership and a spokesperson bench, and stand up the PR operating model (playbooks, message houses, editorial calendar, perception studies). This is a senior execution-and-build role: the company narrative is set centrally; this leader runs the machine that delivers it globally.
Required skills and qualifications
10+ years in tech PR with senior leadership experience – ideally B2B, developer, enterprise, or infrastructure
Built and led distributed PR teams across regions, with proven US results
Narrative-led PR – track record taking a defined strategic story to market, not press-release output
Thought leadership and spokesperson development
Crisis communications
Agency and budget management at scale
Fluent working with technical, developer-facing audiences and an AI-transition story
Preferred skills and qualifications
Experience in an AI or developer-tools company during a positioning shift
Existing tier-1 US tech media relationships
Comfortable operating across a US/Europe time split
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
leadAmsterdam, Netherlands; London, United Kingdom
УдалённоTirana
headNew York, New York, United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorNew York City, NY; San Francisco, CA; Seattle, WA
УдалённоAndorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia
УдалённоseniorUnited States
San Francisco, CA • New York, NY • United States
Paris; Zurich; Warsaw; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Freeport, United States
УдалённоRemote UK
УдалённоUnited States; Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones; Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time
