Location: Remote (Canada)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
Tailscale is looking for a pragmatic, business-minded Head of Legal to build and lead our legal function through our next stage of growth.
As Tailscale’s senior legal leader, you’ll partner with executives and teams across the company to navigate complex legal and business considerations, manage risk, and build the capabilities needed to support a growing, globally distributed technology company.
This is an opportunity to shape how Legal operates at Tailscale. You’ll establish priorities, advise on important company and product decisions, and determine the right combination of internal talent, outside counsel, processes, and systems to support the business. An early priority will be strengthening our commercial legal capabilities, including hiring a dedicated leader to own contracts and help scale our approach to commercial transactions.
You may already lead a broad legal organization, or you may be an experienced legal leader who has taken on progressively greater responsibility and is ready to step into the top legal role for the first time.
Key Responsibilities
Build and evolve the strategy, priorities, operating model, and team for Tailscale’s legal function.
Serve as a trusted advisor to executives and cross-functional leaders, translating legal complexity into clear, practical business guidance.
Help leaders identify material risks, evaluate tradeoffs, and move forward with appropriate safeguards.
Partner with Product, Engineering, Security, Sales, Finance, People, Operations, Marketing, and other teams on company priorities.
Advise across a range of matters that may include corporate governance, product development, open-source software, intellectual property, privacy, data, AI, security, employment, commercial relationships, compliance, and international operations.
Build scalable legal processes, policies, systems, and decision-making frameworks without creating unnecessary complexity.
Determine which legal capabilities should be developed internally, delegated to future team members, or supported by outside counsel.
Hire and empower legal team members, including building a dedicated commercial legal capability.
Select and manage outside counsel across the countries where Tailscale operates, balancing expertise, responsiveness, cost, and business impact.
Coordinate guidance across jurisdictions and translate local requirements into practical, consistent company practices.
Support strategic partnerships, corporate initiatives, and other business-critical matters as Tailscale continues to grow.
Anticipate emerging legal and regulatory developments and help the company prepare for what comes next.
What We Are Looking For
Significant legal experience, including meaningful in-house experience within a technology company and a track record of helping legal functions scale in startup or high-growth environments.
A law degree and active membership in at least one applicable bar or equivalent authorization to practice law.
Progressive growth in the scope, complexity, ownership, and influence of your work.
Broad business judgment and the ability to navigate legal issues beyond a single area of specialization.
Experience advising executives and senior leaders on complex or consequential decisions.
The ability to understand business goals, identify material risks, and recommend practical paths forward.
Experience partnering effectively with technical, operational, and commercial teams.
Familiarity with the legal considerations facing a growing software or technology company.
Experience working with outside counsel and turning specialized advice into clear recommendations for the business.
A track record of building or improving legal capabilities, teams, programs, processes, or areas of practice.
Strong communication skills and the ability to make complex issues understandable to different audiences.
Sound judgment, curiosity, and the confidence to challenge constructively when needed.
Comfort operating in ambiguity and moving between strategic leadership and hands-on execution.
Admission and good standing with at least one applicable state, provincial, or other recognized bar association.
Nice to Have
We do not expect candidates to bring experience in every area below. Relevant experience may include:
Developer tools, infrastructure, cloud, networking, cybersecurity, data, or another technically complex software environment.
Open-source software, licensing, developer ecosystems, APIs, integrations, marketplaces, or technology partnerships.
Product counseling, privacy, data governance, cybersecurity, intellectual property, or emerging technology.
AI-enabled products or the use of AI within company operations.
Cloud, on-premises, self-hosted, or hybrid software offerings.
Data residency, sovereignty, localization, or cross-border data considerations.
Supporting employees or business operations across multiple countries.
Corporate governance, financing, strategic transactions, or board-related matters.
Building or scaling a legal function within a growth-stage company.
Hiring, developing, or leading in-house legal professionals.
How You’ll Work
At Tailscale, Legal is a thoughtful and pragmatic partner. You’ll seek to understand the goals behind the work, help teams evaluate tradeoffs, and build frameworks that enable people to make sound decisions with increasing independence.
You’ll thrive in this role if you enjoy building, are curious about technical products, and want to shape a legal function as the company grows. You know when to engage directly, when to bring in specialized expertise, and when to empower others to lead.
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
CAN Pay Range
$298,820
—
$427,460 CAD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
About garden3d:
We are a worker owned creative collective innovating on brands, IRL communities, IoT devices, and cross platform apps. We share profit, open source everything, spin out new businesses, and invest in exciting ideas through financial and/or in-kind contributions. Our clients include Google, Stripe, Figma, Hinge, ACLU, Mozilla, The Nobel Prize, MIT, Etsy, and others. We operate a global decentralized community space collective called Index Space.
About Sanctuary Computer:
We build a technology shop prioritizing close collaboration between client and craftsperson, working on design-forward websites, robust web apps, and native mobile development.
Who we’re looking for:
Senior Shopify Developer with deep e-commerce expertise and modern frontend engineering skills. Responsibilities include:
— Collaborate with Technical Leads and Designers to meet custom e-commerce and technical needs.
— Build and maintain high-performance storefronts using custom Liquid (Online Store 2.0) and headless architectures (Shopify Storefront API, GraphQL, Hydrogen/Remix, Next.js).
— Implement responsive, accessible, pixel-perfect interfaces based on design specs with attention to interaction details and motion design.
— Integrate storefronts with headless CMS (Sanity, Contentful), payment gateways, subscriptions, search, and third-party e-commerce APIs.
— Optimize e-commerce performance focusing on Core Web Vitals, asset delivery, bundle size, and runtime efficiency.
— Architect scalable, reusable component libraries and design systems.
— Write clear documentation for store management, custom app integrations, and codebase maintenance.
— Participate in project rituals including Sprint Planning, standups, code reviews, and retrospectives.
Candidate profile:
Happy, relaxed, easy to get along with, flexible except on work quality, smart workflow management, prefers deep work but participates in strategic conversations. Interests in design, art, music, food, or fashion are a plus.
Must-Have Competencies:
— 8+ years writing highly performant frontend code with focus on 95+ Lighthouse scores and Core Web Vitals.
— Deep Shopify ecosystem mastery: custom Shopify themes (Liquid, JSON templates, Online Store 2.0), headless storefronts using Shopify Storefront API (GraphQL), Hydrogen/Remix, Next.js.
— Expert-level TypeScript and modern CSS (Tailwind CSS, CSS Modules), animation libraries (GSAP, Framer Motion).
— Experience integrating Shopify with headless CMS (Sanity, Contentful, Prismic) and third-party services (Klaviyo, Recharge, Algolia/Searchspring, Stripe).
— Fluency with PaaS platforms: Vercel, Netlify, Shopify Oxygen.
— Experience with state management (Zustand, Redux, Pinia) and API integration for cart state, multi-currency, checkout flows.
— Building accessible (WCAG compliant), responsive interfaces with SEO best practices, testing frameworks (Jest, Playwright, Cypress), maintainable code.
— Knowledge of WebSockets, caching strategies (Redis, CDN-level/Cloudflare), advanced image delivery.
Nice-to-Have Competencies:
— Custom Shopify App development using Node.js, Remix, GraphQL Admin API, Shopify CLI.
— Shopify Plus & Enterprise features: Shopify Functions, Checkout Branding API, Shopify Scripts, B2B configurations.
— Tracking & Analytics: server-side tracking, GTM, Meta Pixel, Customer Privacy APIs.
— WebGL, Canvas & 3D: Three.js or similar.
— Full-stack & API design: PostgreSQL, REST/GraphQL API, OAuth, JWT.
— Client-facing and management experience.
Compensation:
$40/hr to $120/hr depending on seniority and leadership experience. Projects typically at least 8 full-time weeks.
Interview process:
Intro call, panel interview, reference call, then offer.
Work culture:
Transparency with profit & loss sharing, carbon negative studio, strong morals rejecting non-aligned work, async and decentralized communication, remote friendly, building open source and internal products.
Application instructions:
Submit complete and thoughtful application with relevant links.
Location: Germany; Portugal; France; Spain; Italy; The Netherlands
Workplace: Hybrid
WHY PRODUCT ENGINEERING AT LANGFUSE
Your work will have an outsized impact.
Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels.
Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution.
You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.
YOU WILL GROW AT LANGFUSE BY
- Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api.
- Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing.
- Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition.
- Write public documentation about the features you own. At Langfuse, docs are product.
- Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.
WHAT WE’RE LOOKING FOR
- Someone who has built features or even entire products from scratch end-to-end
- Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends
- Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it.
- Taste for great developer experience: you care about API design, UI details, and clear documentation
- Interest in open source software and genuine excitement about talking to developers about their problems
- Thrives in a small, accountable team where your output is visible and matters
- CS or quantitative degree preferred
Bonus points:
- Experience with ClickHouse, analytics databases, or building complex data visualizations
- Former founder or early startup experience
- Contributions to popular open source projects
- ML/AI background or familiarity with the LLM framework ecosystem
No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.
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 eligible team member who joins our company receives equity.
- 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: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a
Field Delivery Engineer,
you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
Your responsibilities will include:
Planning & Coordination
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
Supervise racking, cabling, and powering of hardware equipment.
Ensure configuration, firmware upgrades, and integration with management systems follow standards.
Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
Document installation steps, asset data, and lessons learned for future rollouts.
Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
Support transition of deployed hardware to operations teams for steady-state management.
Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
3+ years' experience in data center, hardware, or IT field delivery roles.
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
Proven track record coordinating deployments across multiple stakeholders and vendors.
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
Ability to perform deep diagnostics across hardware, firmware (BIOS/
BMC
), and Linux (logs, drivers, storage stack basics, performance triage).
Excellent organizational, communication, and problem-solving skills.
Willingness to travel frequently (sometimes at short notice).
It will be
an added bonus
if you have:
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
Experience with Redfish and
BMC
tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
Exposure to
OCP
-based platforms and
ODM
manufacturing ecosystems.
Familiarity with change management, asset tracking, and quality-assurance processes.
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hyderabad, India
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a
Field Delivery Engineer,
you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
Your responsibilities will include:
Planning & Coordination
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
Supervise racking, cabling, and powering of hardware equipment.
Ensure configuration, firmware upgrades, and integration with management systems follow standards.
Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
Document installation steps, asset data, and lessons learned for future rollouts.
Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
Support transition of deployed hardware to operations teams for steady-state management.
Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
3+ years' experience in data center, hardware, or IT field delivery roles.
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
Proven track record coordinating deployments across multiple stakeholders and vendors.
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
Ability to perform deep diagnostics across hardware, firmware (BIOS/
BMC
), and Linux (logs, drivers, storage stack basics, performance triage).
Excellent organizational, communication, and problem-solving skills.
Willingness to travel frequently (sometimes at short notice).
It will be
an added bonus
if you have:
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
Experience with Redfish and
BMC
tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
Exposure to
OCP
-based platforms and
ODM
manufacturing ecosystems.
Familiarity with change management, asset tracking, and quality-assurance processes.
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market.
Responsibilities:
Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
Native German speaker
with excellent written and verbal communication skills in German and English
7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences
A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market
A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
What We Offer:
Competitive base salary and commission structure
Equity participation in Anthropic's growth
Comprehensive benefits package
Opportunity to shape the AI industry in DACH and EMEA
Professional development and career growth opportunities
Location:
Munich, Germany (hybrid working available)
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:
€265.000
—
€310.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and are the world’s leading tokenizer of public equities. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue to grow the firm. We're fully remote, with team members across the U.S.
About the role
We are seeking an experienced attorney to join our legal team as
Senior Counsel, Commercial
. This role will work closely with business development, partnerships, marketing, operations, and other commercial teams to structure, negotiate, and execute the agreements that support Ondo’s growth.
The Senior Counsel, Commercial will serve as a practical and commercially minded legal partner across a broad range of strategic relationships and transactions. This individual will lead negotiations, advise stakeholders on contractual and regulatory risk, and develop scalable processes that enable the business to move quickly while protecting Ondo’s interests.
The ideal candidate has significant experience negotiating sophisticated commercial agreements within financial services, fintech, blockchain, or another high-growth technology business. They should be comfortable managing complex negotiations independently, balancing legal risk with commercial objectives, and partnering closely with senior business stakeholders in a fast-moving environment.
Responsibilities
Serve as a primary legal partner to business development, partnerships, marketing, operations, and other commercial teams
Draft, review, and negotiate a wide range of agreements, including strategic partnerships, distribution, technology, licensing, vendor, service, referral, marketing, data, and confidentiality agreements
Lead complex commercial negotiations from initial structuring through execution and renewal
Advise stakeholders on contractual, regulatory, reputational, and counterparty risks associated with commercial initiatives
Support relationships with financial institutions, fintech companies, blockchain protocols, exchanges, wallets, custodians, market makers, technology providers, and other ecosystem partners
Develop pragmatic solutions that balance legal protection with commercial objectives and speed of execution
Advise marketing and business teams on promotional campaigns, partner communications, public claims, and related commercial arrangements
Partner with compliance and regulatory counsel to address issues involving securities, financial promotions, anti-money laundering, data protection, licensing, and geographic restrictions
Develop and maintain contract templates, negotiation playbooks, approval processes, and scalable commercial legal workflows
Provide training and guidance to business teams on contracting, negotiation, and risk management
Manage outside counsel and specialist advisers where appropriate
Support the AGC Commercial and other senior legal personnel on strategic transactions and business priorities
Requirements
JD degree from an accredited U.S. law school
5–8+ years of legal experience at a major law firm and/or a high-growth blockchain, fintech, financial services, or technology company
Significant experience drafting and negotiating complex commercial agreements
Strong understanding of commercial contracting principles, including liability, indemnification, intellectual property, data use, confidentiality, service levels, termination rights, and regulatory allocation
Experience advising business development, partnerships, marketing, sales, operations, or other commercial teams
Strong commercial judgment and the ability to provide clear, practical advice in situations involving competing business and legal considerations
Ability to lead negotiations independently and engage credibly with senior internal stakeholders and sophisticated counterparties
Understanding of the blockchain industry and the commercial relationships that support digital-asset or financial-services businesses
Familiarity with securities, anti-money laundering, financial promotions, data protection, and other relevant financial-services regulations
Excellent drafting, negotiation, analytical, and communication skills
Highly organized, detail-oriented, and able to manage multiple transactions and deadlines simultaneously
Comfortable operating independently in a fast-moving and ambiguous environment
Experience with tokenized assets, institutional financial products, or international commercial arrangements is a plus
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Talent Bridge is an opportunity for school students to showcase their achievements, projects, and ideas to get noticed by companies, universities, and experts in the tech ecosystem.
Selected young talents may be featured on the AI & Digital Bridge 2026 stage and become part of the Alem AI Talent Pool.
Eligibility criteria include:
— Participation in Olympiads or competitions;
— Building own projects or prototypes;
— Self-exploration of AI, science, or technology;
— Working on ideas to develop further.
Applicants do not need a perfect track record; the focus is on what they have done, their curiosity, and future creative plans.
Applicants should share about themselves, their achievements, and the project or idea they are most proud of.
This program aims to be the start of something bigger for talented youth.
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.
Where 50 Billion Daily Predictions Begin
The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships.
The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user.
On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible.
Your Mission & Who We Are Looking For:
- Kotlin & Android Internals Expertise: You will own the core development and optimization of the adjoe Ads SDK, which runs inside hundreds of publisher apps. We are looking for someone with 8+ years of Android experience (or 3+ years specifically in SDK/library development) who works primarily with Kotlin and has a deep understanding of Android lifecycles, ProGuard/R8, and multithreading to ensure zero tolerance for instability on millions of devices.
- High-Performance Network Design: You will collaborate with backend teams to design APIs and capture behavioral signals that power 50 billion daily ML predictions. You need a strong track record in API design, maintaining strict backward compatibility for thousands of external integrators, and working with high-performance networking protocols like gRPC, Protobuf, Wire, and OkHTTP.
- Resource-Constrained Optimization: You will ensure every ad impression feels native and fast while participating in 120 million daily auctions. You must know how to design for minimal footprint, optimizing battery impact and memory usage, as your code executes directly inside someone else’s app and device.
- Data-Driven Observability: You will monitor, debug, and maintain SDK reliability at scale across millions of global users. You will leverage observability and data tools—including Sentry, Kibana, and AWS (S3, QuickSight, Athena)—to track errors, investigate SDK behavior, and turn raw data into clear engineering decisions.
- Build Automation & Delivery: You will maintain and improve our CI/CD pipelines to guarantee efficient, reliable SDK delivery. This requires hands-on experience with Gradle and GitLab CI to automate the testing, building, and packaging of our mobile libraries.
- Plus – AdTech & Low-Level Systems: It is a major plus if you bring experience in ad-tech or programmatic advertising (aligning products with IAB specifications). Additionally, experience with NDK/JNI (C/C++ interop on Android) or parallel iOS development experience is highly valued to help support our cross-platform ecosystem.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a
Trade Support Engineer
, you’ll have the opportunity to learn and grow while supporting our trading technology. You’ll work closely with trading, infrastructure, and software development teams to keep systems running smoothly. You’ll gain experience working with exchanges, traders, and developers to help resolve technical issues and assist with ongoing improvements.
Qualifications & Skills:
1–3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!)
Bachelor’s Degree in Computer Science, Engineering, or related STEM field
Basic understanding of networking concepts (TCP/IP, DNS, DHCP) and ability to use common troubleshooting tools
Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
Ability to think through and troubleshoot technical problems under time pressure
Clear communication skills, written and verbal
Familiarity with scripting languages (e.g., Python, Bash, PowerShell) for basic automation tasks
Experience with Linux/Unix environments (basic command line skills)
What You’ll Be Working On:
Keeping trading systems healthy and available by proactively spotting and resolving potential issues
Responding to trader and engineer request with both urgency and understanding of the bigger operational context
Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
Learning the trading environment deeply so you can anticipate challenges and suggest improvements
What we Value:
Intent over Instruction:
we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
Responsibility and trustworthiness: you follow through and communicate progress and results clearly
Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
Collaboration: you seek input when needed but are comfortable making informed decisions yourself
About You:
You enjoy diagnosing problems and thinking creatively about solutions
You’re excited about fast-moving environments and want to see your work make an impact quickly
You learn by doing and feel comfortable diving into unfamiliar technology
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-PR1
Location: India
Job Overview
We are seeking an experienced
AI Solution Architect
to design and lead end-to-end enterprise AI Factory and GPU infrastructure solutions spanning compute, high-performance networking, storage, Kubernetes, cloud, and AI/ML platforms. The role requires strong expertise in
NVIDIA GPU technologies, AI workloads, scalable infrastructure architecture, security, observability, performance engineering, and capacity planning
.
Key Responsibilities
Own end-to-end architecture for AI Factory and enterprise AI solutions from requirements through production readiness.
Assess AI/ML workload requirements for training, fine-tuning, inference, batch processing, and high-performance computing.
Design GPU compute architectures including NVIDIA HGX/DGX/OEM platforms, multi-GPU systems, NVLink/NVSwitch, and GPU resource allocation.
Design high-performance AI networking using 100/200/400/800G Ethernet, EVPN/VXLAN, and leaf-spine architectures.
Design AI storage and data architectures using object storage, parallel file systems like Ceph, WEKA, , or equivalent platforms.
Define AI platform architecture across Kubernetes, HPC, container runtimes, model-serving platforms, and enterprise AI frameworks.
Establish architecture standards for security, identity, tenant isolation, data protection, observability, disaster recovery, and operational resilience.
Develop reference architectures, high-level/low-level designs, capacity models, bills of materials, technology evaluations, and implementation roadmaps.
Lead technical evaluations, proof-of-concepts, vendor assessments, and architecture review boards.
Collaborate with infrastructure, network, security, storage, cloud, data, application, and operations teams.
Define performance, availability, scalability, security, and cost objectives and validate architecture against measurable acceptance criteria.
Provide technical leadership during deployment, migration, integration, troubleshooting, and production transition.
•
Required Technical Skills
AI / ML Architecture
• NVIDIA AI Enterprise, NGC, CUDA, NCCL, DCGM, GPU Operator and AI platform ecosystem.
• PyTorch, TensorFlow, JAX and operational understanding of training and inference workloads.
• GPU scheduling, multi-tenancy, MIG/vGPU, GPU utilization and workload placement.
• LLM, generative AI, RAG, fine-tuning, model serving and inference architecture.
GPU & AI Factory Infrastructure
• NVIDIA A100/H100/H200/B200 or equivalent GPU platforms; familiarity with next-generation systems.
• NVLink, NVSwitch, PCIe topology and multi-GPU performance architecture.
• DGX/HGX/OEM GPU server architecture and lifecycle management.
• AI Factory capacity planning, rack density, power, cooling, commissioning and lifecycle strategy.
High-Performance Networking
• 100/200/400/800G Ethernet, InfiniBand, RoCEv2 and RDMA, Netris
• NVIDIA ConnectX/SuperNIC, Spectrum/Spectrum-X, Quantum and BlueField DPU technologies.
• BGP, EVPN/VXLAN, VRF, ECMP, VLAN, MTU, PFC, ECN, QoS and congestion management.
• GPU east-west traffic, GPUDirect RDMA and network performance troubleshooting.
AI Storage & Data Architecture
• Parallel file systems, object storage, NFS, NVMe/NVMe-oF and high-throughput data pipelines.
• Ceph, WEKA, VAST, Dell PowerScale, Pure FlashBlade, NetApp or equivalent technologies.
• Data lake/lakehouse concepts, metadata, lineage, data movement and data lifecycle.
• GPUDirect Storage and storage/network performance optimization.
AI Platform & Orchestration
• Kubernetes, GPU Operator, container runtimes and Kubernetes GPU scheduling.
• HPC or other equivalent workload schedulers.
• Model serving/inference platforms and MLOps platform architecture.
• API gateways, service discovery, secrets management and platform integration.
Cloud & Hybrid Architecture
• AWS and/or Azure AI infrastructure and security services.
• Hybrid cloud connectivity, IAM, private networking, cloud storage and workload placement.
• Cloud cost optimization, capacity planning and FinOps considerations for GPU workloads.
Security & Governance
• Zero Trust, network segmentation, IAM/RBAC, PAM and workload identity.
• GPU, DPU, container, Kubernetes, firmware and supply-chain security.
• Encryption at rest/in transit, secrets management, audit logging and compliance controls.
• AI-specific risks including data/model protection, tenant isolation and secure model access.
Observability & Reliability
• Prometheus, Grafana, OpenTelemetry, NVIDIA DCGM and infrastructure telemetry.
• Monitoring across GPU, CPU, memory, network, storage, power and thermal domains.
• High availability, backup/restore, disaster recovery, business continuity and failure-domain design.
• Performance engineering, bottleneck analysis, SLO/SLA design and capacity forecasting.
Architecture Deliverables
• AI Factory reference architecture and solution blueprints
• High-Level Design (HLD) and Low-Level Design (LLD)
• Network, compute, GPU and storage architecture diagrams
• Capacity, performance and scalability models
• Technology evaluation and vendor comparison documents
• Security architecture and threat-model inputs
• Bill of Materials (BOM) and infrastructure sizing
• Migration/deployment strategy and implementation roadmap
• Operational readiness checklist, runbooks and acceptance criteria
Experience & Qualifications
• 10+ years of infrastructure, cloud, enterprise architecture or solution architecture experience, with significant AI/GPU infrastructure exposure.
• Proven experience designing large-scale enterprise platforms and translating business requirements into technical architectures.
• Hands-on understanding of physical infrastructure, GPU systems, networking, storage and Linux platforms.
• Bachelor's degree in Computer Science, Engineering, Information Technology or related field preferred.
Preferred Certifications
• NVIDIA certifications or equivalent GPU/AI infrastructure credentials
• AWS Solutions Architect / Azure Solutions Architect
• TOGAF or equivalent enterprise architecture certification
• CCNP/CCIE or equivalent networking certification
• CISSP or equivalent security certification
• Kubernetes certifications such as CKA/CKAD
• Red Hat / Linux certifications
Location: Malaysia
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Singapore
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Serbia
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Poland
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Dubai, UAE
Workplace: Remote
ABOUT COLUMN
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!
THE OPPORTUNITY
As Column’s Emerging Markets Lead, you will spearhead one of our most strategic international expansion initiatives. In this role, you will be responsible for driving 0-to-1 growth for a new banking product, with a particular focus on building and nurturing relationships with prospective partners and customers in select markets, with a specific focus on markets within MENA. This role combines global expansion strategy, business development with hands-on relationship management, requiring a general business athlete who thrives on networking and executing complex partnerships. This is a unique opportunity to be on the founding team for a new business line, with significant autonomy and direct impact on Column’s global expansion strategy.
This position will be based in Dubai with regular travel throughout the region and occasional travel to Column’s headquarters in San Francisco.
WHAT YOU’LL DO
- Lead regional market development: Own the end-to-end process of identifying, evaluating, and executing on high-value partnerships with banks across a number of international markets.
- Build and maintain key relationships: Serve as the primary relationship owner for prospective and existing customers, conducting regular in-person meetings, attending local industry events, and managing ongoing partnership development.
- Own partnership execution: Lead complex deal processes from initial outreach through contract signature, working collaboratively with Column’s Legal, Compliance, and Product teams.
- Develop market intelligence: Gather and synthesize insights on local market conditions, regulatory developments, competitive landscape, and customer needs to inform Column’s regional strategy.
- Market expertise and network: Become an expert on the correspondent banking space in our key emerging markets and build an extensive network within their banking and fintech ecosystems.
- Drive operational excellence: Build scalable processes for onboarding, relationship management, and ongoing support that can be replicated as we expand.
WHAT YOU’LL NEED TO BE SUCCESSFUL
- 6+ years of experience in partnerships, business development, growth, operations or strategy in a high-caliber environment
- 4+ years of business experience specifically in MENA
- Native fluency in Arabic and experience managing business relationships with Arabic-speaking clients and stakeholders
- Track record of successfully managing complex partnerships and high-value deals with executive stakeholders
- Natural networker who thrives on building trust and long-term relationships with senior executives, market experts and decision-makers
- Strong strategic thinking - ability to assess market opportunities, evaluate potential partners, and provide strategic recommendations to senior leadership
- Hyper-organized approach to project management, including coordinating efforts across multiple teams; comfort juggling multiple projects and priorities is critical
- Scrappy, roll-up-your-sleeves attitude - we thrive because we work harder, are more creative, and have zero ego when it comes to getting our hands dirty to build a business
WE LOOK FORWARD TO HEARING FROM YOU
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.
Location: United States
The Opportunity
Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Equity participation
Comprehensive benefits (health, dental, vision, 401k)
Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements
If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.
УдалённоseniorГеография найма не уточнена, офис: New York City
ГибридseniorGermany; Portugal; France; Spain; Italy; The Netherlands
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.
Гибридsenior🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
Bangalore, India; Ability to work in a hybrid model based in Bangalore (1–2 days/week in-office), with the flexibility to cover APAC time zones, travel as required, and start within 45 days
Singapore
УдалённоIndia
УдалённоMalaysia
УдалённоSingapore
УдалённоSerbia
УдалённоPoland
УдалённоleadDubai, UAE
УдалённоUnited States; Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
Автоотклики