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customer support engineer remote

Upbound, Inc.

<div><div>Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We're the creators and primary maintainers of Crossplane, and we're building the Intelligent Control Plane&mdash;a new platform layer that makes infrastructure programmable, autonomous, and composable.

Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale&mdash;so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence.

Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We're a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we've raised $69M to date. Learn more at upbound.io</div><div>
<div>
<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>As a Senior Customer Support Engineer at Upbound, you won't just resolve tickets, you'll own the customer experience from first touch to full resolution, setting the standard for what world-class technical support looks like in the cloud-native ecosystem. You'll be a trusted technical advisor to our customers, working alongside Product, Engineering, and Customer Success to make every interaction exceptional. This role reports into the Customer Experience team at Upbound a signal of how seriously we take support as a strategic function, not an afterthought. This is a high-impact role for someone who gets genuine satisfaction from solving hard problems, has a natural drive to help, and believes that great support is a craft not a function.</div>
<div></div>
<div>In this role, you will:</div>
<ul><li>Serve as a primary technical resource for customer inquiries related to Upbound's products Spaces, Cloud, Official Extensions, Marketplace, Registry &amp; More delivering a &quot;wow&quot; experience with every single touch</li>
<li>Apply a structured, methodical troubleshooting approach to diagnose and resolve complex customer issues, moving efficiently from hypothesis to root cause</li>
<li>Triage, own, and drive tickets to resolution with urgency and clear communication proactively keeping customers informed every step of the way</li>
<li>Identify, document, and escalate bugs and product issues to Engineering with thorough reproduction steps, collaborating closely to ensure fast resolution</li>
<li>Partner with the Solutions team on complex, strategic customer requests, ensuring seamless handoffs and continuity of experience</li>
<li>Capture and contribute knowledge back to the team building and maintaining a high-quality internal knowledge base using KCS (Knowledge-Centered Service) methodology</li>
<li>Gather and synthesize customer feedback to surface trends, advocate for product improvements, and drive process enhancements across the team</li>
<li>Build or contribute to agentic tooling, automation, and internal workflows that meaningfully elevate the support experience and scale your own impact</li>
</ul><div>You're a good fit if you have:</div>
<ul><li>4+ years of experience in a technical support or customer-facing engineering role, ideally in a SaaS or enterprise infrastructure environment</li>
<li>A natural &quot;helper gene&quot; you're energized by solving problems for others and take personal ownership of customer outcomes</li>
<li>Strong, systematic troubleshooting methodology you approach complex issues with a clear framework, not just instinct</li>
<li>Solid experience with Kubernetes, cloud-native technologies, and infrastructure-as-code</li>
<li>Excellent written and verbal communication skills you can explain deeply technical concepts to any audience without losing precision</li>
<li>A customer-first mindset with a relentless drive to deliver experiences that genuinely delight</li>
<li>Solid experience with Kubernetes and cloud-native technologies &mdash; including Helm, OCI artifact distribution, RBAC, admission webhooks, and policy frameworks (OPA/Gatekeeper, Kyverno)</li>
<li>Able to drive root cause analysis independently using observability tooling &mdash; Prometheus, Grafana, Loki, or equivalent &mdash; without needing Engineering to interpret metrics or traces for you</li>
<li>Experience with vulnerability management in containerised environments &mdash; triaging CVE severity, assessing blast radius, and communicating risk and remediation timelines to enterprise security teams</li></ul> 
</div>
</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>It's a plus if you have:
<ul>
<li>Hands-on experience with Upbound and/or Crossplane</li>
<li>Familiarity with KCS (Knowledge-Centered Service) practices and methodology</li>
<li>Experience building agentic tooling, support automations, or AI-assisted workflows to improve customer outcomes</li>
<li>Proficiency with Unix-like shells and command-line interfaces</li>
<li>Scripting skills in Python, Bash, or similar</li>
<li>Startup experience you know how to operate with ambiguity and move fast</li>
<li>Hands-on experience with GitOps tooling (ArgoCD or Flux) and familiarity with reconciliation failure modes &mdash; drift, conflicts, dependency ordering</li>
<li>Background in platform engineering or internal developer platforms (IDPs) &mdash; you understand what platform teams are trying to build and why it breaks</li>
<li>Working proficiency in Go &mdash; enough to read Crossplane/provider source, identify relevant fixes, and</li>
</ul>
#LI-REMOTE<div><h3 class="jobSectionHeader">
Why Upbound?</h3>

At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled&mdash;this is your seat at the table.

About Upbound

Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit www.upbound.io.</div></div>

Customer Support Engineer (REMOTE)

Handshake

<div><h1 class="jobSectionHeader">About Handshake</h1>
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
Handshake is seeking a Senior Security Engineer to own the architecture, design, and implementation of our enterprise identity automation and governance ecosystem. You&rsquo;ll define the long-term IAM automation strategy, build resilient and scalable lifecycle workflows, and enable secure-by-default identity operations across SaaS, cloud, and internal platforms. 
You&rsquo;ll partner closely with Security, IT Engineering, People Operations, and Product/Platform Engineering to deliver highly automated, auditable, and reliable identity solutions.<h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li>
Architect, build, and own automated onboarding, offboarding, and access-change workflows across Okta, Workday, SCIM, and event-driven systems.</li><li>
Engineer integration layers between identity platforms and internal applications using Python, REST APIs, Webhooks, and Terraform.</li><li>
Implement error-handling, reconciliation logic, telemetry, and monitoring to ensure reliability and determinism in identity lifecycle events.</li><li>
Modernize existing provisioning logic and replace manual processes with scalable automation frameworks.</li><li>
Develop tooling and pipelines enabling version-controlled, testable, observable IAM automation.</li><li>
Act as a technical owner for Handshake&rsquo;s IAM ecosystem, including Okta, Google Workspace, GCP, AWS IAM, and internal access systems.</li><li>
Engineer and optimize authentication &amp; authorization protocols (OIDC, OAuth2, SAML, JWT), fine-grained access policies, and scalable RBAC/ABAC models.</li><li>
Build custom automation using Okta Workflows or API-driven orchestration.</li><li>
Design SOC2-compliant access controls, approvals, attestations, and auditability mechanisms.</li><li>
Build automated access certification systems with full data lineage.</li><li>
Conduct identity-related incident forensics and implement preventative automation.</li><li>
Provide cross-functional leadership, setting standards, best practices, and reference architectures for identity automation.</li><li>
Serve as service owner for IAM automation platforms with accountability for uptime, consistency, and continuous improvement.</li></ul><h2 class="jobSectionHeader">
Desired Capabilities</h2><ul><li>
4&ndash;7+ years of hands-on IAM engineering, identity automation, or identity governance experience.</li><li>
Strong scripting/automation skills in Python, Node.js, and REST-based integrations.</li><li>
Experience with IAM platforms such as Okta, Google Workspace/GCP, Azure AD, or similar.</li><li>
Deep understanding of identity protocols, token flows, SCIM, and distributed lifecycle orchestration.</li><li>
Experience with Terraform or other infrastructure-as-code frameworks.</li><li>
Ability to diagnose complex identity issues across SaaS, cloud, and distributed systems.</li><li>
Strong understanding of DevOps practices, observability, and secure engineering principles.</li><li>
Demonstrated ownership mindset across architecture, implementation, monitoring, and iterative improvement.</li></ul><h2 class="jobSectionHeader">
Extra Credit</h2><ul><li>
Advanced experience with GCP IAM, Google Workspace IAM, AWS IAM, cross-account access patterns, and policy automation.</li><li>
Experience with Okta Workflows, SailPoint/IGA, or Privileged Access Management (PAM) solutions.</li><li>
Experience designing scalable authorization models for high-growth or distributed organizations.</li><li>
Certifications such as Okta Architect, Azure Identity Engineer, CISSP.</li><li>
Prior experience in SaaS, high-growth, or distributed engineering environments.</li></ul><h2 class="jobSectionHeader">
Perks</h2>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life. 
The below benefits are for full-time US employees.
Ownership: Equity in a fast-growing company 
Financial Wellness: 401(k) match, competitive compensation, financial coaching 
Family Support: Paid parental leave, fertility benefits, parental coaching 
Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 
Growth: Learning stipend, ongoing development 
Remote &amp; Office: Internet, commuting, and free lunch/gym in our SF office 
Time Off: Flexible PTO, 15 holidays + 2 flex days 
Connection: Team outings &amp; referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Compensation Range: $176K - $220K</div>

Senior Security Engineer

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
We&rsquo;re hiring a Senior Software Engineer to build and evolve the core product experiences that power Collective&rsquo;s member platform. This is a product engineering role with high ownership across the stack, working closely with Product, Design, and Operations to ship fast and iterate based on real customer needs. You&rsquo;ll be expected to use modern AI tools and agent-based workflows to accelerate development, improve code quality, and unlock new product capabilities. This role is ideal for engineers who think in terms of outcomes, not tickets, and who see AI as a core part of how software gets built today.
What you'll do:<ul><li>
Own features end-to-end &mdash; define the problem, build the solution, deploy it, and iterate until it works</li><li>
Ship high-quality, user-facing product experiences across frontend and backend systems</li><li>
Partner with Product and Design to break down ambiguous problems into simple, effective solutions &mdash; then build them</li><li>
Leverage AI-powered development tools (code generation, copilots, agent workflows) to move faster and cut manual overhead</li><li>
Identify and implement AI capabilities in the product where they meaningfully improve the member experience</li><li>
Ship continuously, instrument what you build, and use customer behavior and feedback to drive the next iteration.</li><li>
Make system design decisions that balance speed, scalability, and maintainability &mdash; and own the tradeoffs</li><li>
Build and improve developer workflows through automation, internal tooling, and AI-assisted processes</li><li>
A habit of evaluating new tools, frameworks, and approaches &mdash; and a willingness to recommend what works and kill what doesn't</li></ul>
What you'll bring:<ul><li>
 5+ years of experience building and shipping production software in a product-focused environment</li><li>
Strong fullstack engineering skills (e.g., Python, Django, React, or similar modern frameworks)</li><li>
Track record of owning features or systems end-to-end and delivering measurable user impact</li><li>
Experience using AI developer tools (copilots, code agents, custom workflows) to ship faster &mdash; not just experiment with them</li><li>
Ability to take a loosely defined member problem and drive it to a shipped solution without waiting for a fully specced PRD</li><li>
Product instinct that lets you make good scope and UX tradeoffs without a designer in every conversation</li><li>
Clear communication and collaboration skills across technical and non-technical partners</li><li>
Demonstrated ability to integrate AI agents and automation into development workflows and product features</li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $195K - $230K</div>

Senior Software Engineer

Capital One

<div>Distinguished Data Engineer - Card Data<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. 
About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank&rsquo;s core profitability and security, this is your team. 
This leader must have the ability to attract and recruit the industry&rsquo;s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. 
Our Distinguished Engineers Are:<ul><li> 
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices</li><li>
Visionaries, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates</li><li>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community</li><li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities</li></ul> 
Responsibilities:<ul><li>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in</li><li>
Strike the right balance between lending expertise and providing an inclusive environment where others&rsquo; ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team</li><li>
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible</li><li>
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization</li><li>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</li><li>
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One&rsquo;s Tech talent</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years of experience in data engineering</li><li>
At least 3 years of experience in data architecture</li><li>
At least 2 years of experience building applications in AWS</li></ul> 
Preferred Qualifications:<ul><li>
Masters&rsquo; Degree</li><li>
9+ years of experience in data engineering</li><li>
3+ years of data modeling experience</li><li>
2+ years of experience with ontology standards for defining a domain</li><li>
2+ years of experience using Python, SQL or Scala</li><li>
1+ year of experience deploying machine learning models</li><li>
3+ years of experience implementing big data processing solutions on AWS</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer 

McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

New York, NY: $293,600 - $335,100 for Distinguished Data Engineer 

Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Distinguished Data Engineer - Card Data

FluidStack

<div><div><div>San Francisco, CA,Austin, TX
 </div></div><div>Full Time</div></div>
 <div><h1 class="jobSectionHeader">About Fluidstack</h1>
At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world&rsquo;s biggest AI Labs at industry-defining speeds.
Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here.
There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.
<h2 class="jobSectionHeader">About the Role</h2>
As an IT Engineer you will be working across identity, devices, SaaS platforms, and supporting end users. You should be organized, collaborative, and eager to learn while working within established systems and processes.
<ul><li>Provide reliable, hands-on IT support for our in office and remote employees by efficiently resolving Help Desk tickets while delivering excellent customer service.
</li><li>Support Fluidstack&rsquo;s MDM fleet comprising macOS, iOS, and Windows devices.
</li><li>Provide in office support by troubleshooting basic network issues and our A/V systems.
</li><li>Help manage and optimize Okta and our core SaaS tooling by administering and improving integrations and role-based access controls.
</li><li>Support daily procurement and asset management operations by coordinating hardware purchasing and tracking while maintaining accurate asset inventory and device assignments throughout their lifecycle (purchase to decommission).
</li><li>Help maintain clear, organized, and accessible IT documentation by creating easy-to-understand technical documentation for both technical and non-technical audiences.
</li><li>Contribute to IT initiatives by supporting project execution, managing priorities, and ensuring clear communication with stakeholders through regular updates.
</li><li>Help maintain a secure environment by supporting basic security hygiene to include access reviews and basic identity security tasks.
</li><li>Support onboarding and offboarding of Fluidstack employees and contractors.
</li><li>Support the IT team by creating simple, reliable automations that reduce manual work and improve operational efficiency.
</li></ul><h1 class="jobSectionHeader">Qualifications</h1>
<ul><li>Practical experience administering Okta, including users, groups, and basic app integrations (OIE a plus).
</li><li>Strong knowledge of Google Workspace, with some exposure to Office 365.
</li><li>Hands-on MDM experience with macOS and Windows, ideally with Iru (formerly Kandji).
</li><li>Ability to support macOS, iOS, and Windows devices.
</li><li>Familiarity with Atlassian tools (Jira, Confluence) for documentation and project management.
</li><li>Experience participating in procurement and asset management processes.
</li><li>Clear, concise technical writing skills for documentation and knowledge base content.
</li><li>Excellent communication and customer service abilities.
</li><li>Basic understanding of security principles and best practices.
</li></ul><h1 class="jobSectionHeader">Nice To Haves</h1>
<ul><li>Experience with no‑code/low‑code automation tools (Okta Workflows, n8n, Zapier, Workato, Tray.io).
</li><li>Scripting familiarity with common languages (Bash, PowerShell, Python).
</li><li>Exposure to security and compliance frameworks (SOC 2, ISO 27001, NIST, CIS, FedRAMP).
</li><li>Experience with AI tools, agents, MCPs, automations, and prompting. Fluidstack standardizes on Anthropic Claude and has OpenAI ChatGPT.
</li><li>HRIS integration experience with systems like Deel, Rippling, BambooHR, or Workday.
</li><li>Understanding of API integrations and webhooks, and how to use them effectively.
</li></ul><h1 class="jobSectionHeader">Salary &amp; Benefits</h1>
<ul><li>Competitive total compensation package (salary + equity).
</li><li>Retirement or pension plan, in line with local norms.
</li><li>Health, dental, and vision insurance.
</li><li>Generous PTO policy, in line with local norms.
</li></ul>The base salary range for this position is $90,000 - $150,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application- someone from our recruiting team will be in touch.</div>

IT Engineer

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

Byte-Code SpA

<div>About Xaba
Xaba https://www.xaba.ai/ is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us in shaping the future of AI in robotics.
The Role
We are seeking an Applied Robotics Engineer to contribute to the development and deployment of our innovative products. As a key member of the Xaba team, you will play a pivotal role in shaping AI-powered robotics automation, while closely collaborating with the leadership team.
What you will do:<ul><li>
Collaborate with Xaba&rsquo;s cross-functional team of engineers to support the development, testing and deployment of AI models leveraging state-of-the-art DNN, CNN and GNN models to augment industrial robotics cognition, awareness and facilitate their program generation</li><li>
Conduct applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data. This supports the development, training, auditing, and validation of physics-based AI models for robotics fabrication processes.</li><li>
Provide training and support for Xaba's products.</li><li>
Work closely with customers to understand their requirements and pain points, ensuring successful integration of AI-powered robotics software.</li></ul>
Technical Expertise:<ul><li>
Working experience with industrial robot manipulators: ABB, FANUC, UR, KUKA, etc.</li><li>
Demonstrated hands-on experience in designing, building and deploying robotic systems.</li><li>
Practical knowledge of robotic fabrication processes, including welding, machining, assembling, or inspection.</li><li>
Proficiency in both spoken and written English.</li></ul>
Nice to have:<ul><li>
Experience with SolidWorks, AutoCAD, CloudCompare.</li><li>
Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.</li><li>
Knowledge of robotic programming languages: RAPID, URSCRIPT, KRL, etc.</li><li>
Solid understanding of key robotic aspects: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.</li></ul>
Education:<ul><li>
Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.</li></ul>
Our location
While our team is remote-first and fully distributed, but for this position you must live in San Francisco, California.
Our Team and Perks<ul><li>
We are an open, collaborative, and supportive culture including skill shares and design critiques</li><li>
We believe that employees should be owners, which is why we provide stock option grants for full-time employees</li><li>
We believe in supporting the health and wellbeing of our team, which is why we offer a competitive health benefits package</li><li>
As a remote-first team, we believe in the importance of having the right set up, which is why we offer a home office budget</li><li>
Learning and development is critical to us, which is why we have a self-directed learning budget</li><li>
Stock option grants for full-time employees, promoting a sense of ownership.</li><li>
Competitive health benefits package.</li></ul>
Our Hiring Process<ul><li>
Discover: You discover the opportunity and apply to the role</li><li>
Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.</li><li>
Deep dive: We have a 60 minute call to dive deep into your experience and the role.</li><li>
Meet your team: You have a video call with a few other Xaba team members.</li><li>
Offer: You receive an offer to join Xaba!</li></ul>
Accommodations and Accessibility
Inclusion and equity are the cornerstones of how we recruit, hire, and develop talent. We encourage applications from all candidates, especially those who identify as members of the BIPOC community, LGBTQ++ community, women, caregivers, immigrants, and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.
About Byte-Code SpA
As Italian hiring partner, Byte-Code is helping Xaba finding the best candidates. You can apply through our website: https://bytecode.recruitee.com/ 
Technical Expertise:<ul><li>
Working experience with industrial robot manipulators: ABB, FANUC, UR, KUKA, etc.</li><li>
Demonstrated hands-on experience in designing, building and deploying robotic systems.</li><li>
Practical knowledge of robotic fabrication processes, including welding, machining, assembling, or inspection.</li><li>
Proficiency in both spoken and written English.</li></ul>
Nice to have:<ul><li>
Experience with SolidWorks, AutoCAD, CloudCompare.</li><li>
Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.</li><li>
Knowledge of robotic programming languages: RAPID, URSCRIPT, KRL, etc.</li><li>
Solid understanding of key robotic aspects: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.</li></ul>
Education:<ul><li>
Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.</li></ul></div>

Applied Robotics Engineer - San Francisco (CA)

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