Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for a Senior GRC Analyst to join our Technical Compliance team and own the recurring risk, vendor, findings, and governance work that keeps Garner’s security program operating well between audits. You will run our risk risk register, manage third party risk, drive security findings to resolution, deliver security training and run the operating cadence of our security governance program. You will partner with all departments across the company so that risks are identified early, decisions are made deliberately, and remediation actually gets done. Our Technology Compliance team safeguards Garner’s sensitive healthcare data and protects the trust of our members, clients, and partners by maintaining a strong control environment and regulatory compliance. The work you do here has a direct impact on our ability to win and retain enterprise customers, expand into new lines of business, and scale securely as we grow.
Where you will work:
This role is open to remote candidates across the U.S. For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week.
What you will do:
Own Garner’s annual information security risk assessment and risk register, driving risk identification, scoring, treatment, and reporting
Manage risk exceptions and prepare risk acceptances for leadership decision
Run third party and vendor risk reviews from intake through approval and periodic reassessment
Own security findings from vulnerability scanning, penetration tests, audits, client assessments, and incidents, tracking remediation with Engineering, enforcing SLAs, and escalating findings that warrant a risk decision
Run our security and compliance training program, including annual security awareness and HIPAA training, onboarding, content refreshes, and completion tracking
Manage the maintenance of our compliance policies, standards, and procedures
Report on our compliance posture to senior leadership
Scale our GRC function with AI and automation, building quick wins and scoping requirements for Engineering to fully automate the rest
What you will bring to the team:
5+ years of experience in GRC, IT risk management, third party risk management, or information security compliance
Experience running information security risk assessments and maintaining a risk register using established methodologies such as NIST CSF or ISO 27005
Hands on experience with vendor risk management and with vulnerability or findings remediation programs in a cloud native engineering environment
Working knowledge of HIPAA and of SOC 2, ISO 27001, and HITRUST requirements
A track record of driving accountability across teams you don’t manage, and the ability to adapt your communication style across engineers, operators, and executives
A GRC Engineering mindset with prior experience using scripting and LLMs to automate repetitive tasks
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Industry certifications such as CISA, CISM, CISSP, CRISC, or ISO 27001 Lead Auditor preferred
Technologies we use:
AWS, Okta, Wiz, Retool, Gitlab, Vanta, Claude
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $155,000-185,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
УдалённоseniorСША; For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week
Location: Austin; Bellevue
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
About the team
Vertical Solutions is where UiPath brings agentic AI into some of the world's most complex and demanding industries: healthcare and life sciences, financial services, and the office of the CFO.
An AI decision here can shape how a claim is reviewed, how a patient's care progresses, or how a financial close is completed. The stakes are high, and so is the bar. Regulated does not mean complicated. We believe enterprise software should feel as clear, intuitive, and thoughtfully designed as the best consumer applications.
Our designers are builders. We design in code with AI tools like Claude and Codex, co-create with customers, and ship directly to production alongside our engineering partners. AI isn't just what we design for; it's fundamentally changing how we work.
We're looking for a Senior Manager, Product Design who can lead this next chapter: someone who thinks beyond individual products, connects experiences across industries, and builds the systems, strategies, and teams that make exceptional design scalable.
About the role
As Senior Manager, Product Design, you'll lead a team of senior and principal-level product designers responsible for user experiences across UiPath's Vertical Solutions portfolio.
This is not a traditional design management role focused on assigning work, managing deliverables, or overseeing design reviews. Your team already knows how to execute. Your opportunity is to help them see further, think bigger, and create more cohesive experiences across products and industries.
You'll set the design strategy for the Vertical Solutions portfolio, turn workflows that recur across industries (reviews, approvals, exception handling, human oversight of agents) into shared patterns, and build design systems that accelerate delivery without compromising quality.
You'll also shape how AI transforms the design discipline itself. AI is collapsing the distance between an idea and working software, and that changes what design craft, collaboration, and quality look like. You'll lead this shift from the front, setting the workflows, standards, and quality bar that make AI-forward design work at scale.
What you'll do
- Set the design strategy. Define and communicate a cohesive, forward-looking experience vision across multiple products, industries, and business workflows. Connect near-term execution to longer-term product and design priorities.
- Lead and empower an exceptional team. Manage and develop the team, providing strategic direction, thoughtful feedback, and the autonomy they need to do their best work.
- Connect the dots across products. Identify the user needs and interaction patterns shared across healthcare, financial services, and finance operations, and turn individual solutions into reusable components and patterns that improve consistency, quality, and speed across the portfolio.
- Lead AI-native design and delivery. Set how the team designs and builds with AI tools like Claude Code and Codex. Make working code and shipping to production, not static handoffs, the default way design gets delivered.
- Partner deeply with product and engineering. Operate as an integrated member of cross-functional teams that plan, build, and ship together, influencing priorities, navigating tradeoffs, and ensuring design considerations shape product decisions from the beginning.
- Stay connected to customers. Champion user research, direct customer engagement, and a deep understanding of how people work across different industries. Ensure product decisions reflect real user needs rather than assumptions.
- Influence and advocate. Communicate design strategy and build alignment with senior product, engineering, and business leaders.
- Stay hands-on. Build and ship yourself when it matters, critique work, and dig into complex design challenges with the team.
What we're looking for
- Proven experience leading product design teams, including at least two years managing a team of five or more designers, ideally including senior or principal-level individual contributors.
- A strong background in product design, with experience shaping modern enterprise SaaS applications, business-user-facing products, or consumer digital experiences.
- Demonstrated ability to establish design strategy across multiple products, teams, or business domains, not simply manage execution against an existing roadmap.
- Deep systems thinking, including direct experience developing, scaling, or meaningfully evolving design systems and reusable experience patterns.
- Hands-on experience designing with an AI-forward process. You use tools such as Claude Code and Codex in your day-to-day work to prototype, build, and ship, and can show examples of work produced this way.
- A builder mindset. You understand how modern frontend applications come together and have shipped production code alongside engineering partners, or led designers who do.
- Strong cross-functional leadership, with a track record of influencing product managers, engineers, and other stakeholders within a larger organization.
- Strong customer empathy and experience using research, customer engagement, and real-world workflows to inform design decisions.
- The ability to communicate complex ideas clearly and build alignment around a compelling design vision.
- Comfort operating in ambiguity, navigating competing priorities, and making thoughtful decisions in a rapidly evolving technology environment.
Nice to have
- Experience designing AI-powered, agentic, or automation-driven products, particularly those involving human oversight, trust, or complex business workflows.
- Experience spanning multiple industries, such as healthcare, financial services, enterprise software, or consumer technology.
- Familiarity with GitHub and modern frontend development workflows.
- Experience leading distributed teams or collaborating across North American and European time zones.
- Experience evolving traditional design organizations toward AI-native, code-first ways of working.
How we work
We believe the future of product design is more integrated, more technical, and more collaborative.
Our designers don't hand off static files to engineering. They prototype, build, and ship directly to production alongside their cross-functional peers. We use AI to reduce repetitive work, accelerate iteration, and create reusable systems that make the entire organization more effective.
We also believe great design leadership is about creating clarity, not bureaucracy. Our designers are experienced, independent thinkers who thrive when given meaningful problems, strong strategic direction, and room to explore.
You'll lead a team that spans multiple business domains and collaborates with colleagues across the United States and Europe.
If you're energized by building exceptional teams, connecting complex problems, and redefining how AI-powered enterprise experiences are designed and delivered, we'd love to meet you.
#LI-MH1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: San Francisco; New York City
Perplexity is looking for a Content Designer to shape the words across our products. You'll design the language people see and hear across our family of Perplexity apps, from the first screen of onboarding to the way an agent explains what it's doing. Fundamentally, we are all writers. Our product is primarily spoken language and written product; but as we scale, we want someone who will continue to work on clarity, usefulness, and keep it unmistakably Perplexity.
You're a designer first? You're an engineer first? You're a writer first? Your shape is not conventional, and you wear many hats. You are fluent in AI tooling. You have strong UX fundamentals and good product instincts. You use language to solve product problems: flows, naming, information architecture, error states, permissions, and moments where people need to trust what the product is telling them. You command words. You command agents, and make decisions about words. You can write one perfect line, and you can build the system that keeps thousands of lines consistent.
You'll sit on the Design Systems team and work closely with product designers, engineers, PMs, research, brand, and marketing. (Again) You're fluent in AI-powered tools and use it every day. You understand how models behave, how prompts and system instructions shape what people see, and how to define and judge quality when the output isn't fully deterministic.
WHAT YOU'LL DO
- Design and write in-product language across web, mobile, desktop, and voice, including UI copy, flows, onboarding, notifications, empty states, errors, and in-product education
- Partner with product designers from the start of a project, shaping flows, structure, and information architecture as well as the words in them
- Name features and products, and own terminology, navigation labels, and taxonomies so the product stays easy to understand as it grows
- Make complex AI and agent behavior understandable, including what the product is doing, why, what it can't do, and when it needs a person's input
- Shape how AI-generated content reads by writing and refining prompts and system instructions, and help define voice and response style for our models in product
- Define content quality standards and help build evaluation criteria, datasets, and reviewer guidance for AI-generated content
- Build and maintain voice and tone guidelines, content patterns, and content guidance in our design system so every team can write well
- Use research, data, and experiments to test language and improve comprehension, activation, and task completion
- Partner with brand and marketing so product language and our external voice feel like one company
- Work with internationalization partners so the product reads well in every language we support
- Review copy in code and ship small language changes directly when it's the fastest path
WHAT WE'RE LOOKING FOR
- 5+ years of experience in content design, UX writing, or product design, shipping software at scale
- An excellent portfolio that shows how your language shaped product decisions, with clear before and after examples and your role in each
- Strong UX fundamentals, including interaction design, information architecture, usability, and accessibility
- Good product sensibility and judgment about what to build, what to cut, and what matters most to people
- Exceptional writing and editing skills, with range from precise interface copy to clear explanations and confident naming
- Strong AI fluency, including hands-on experience writing prompts, working with LLMs, and judging the quality of AI-generated content
- Systems thinking, with experience building content frameworks, style guides, or terminology that scale across teams
- Clear communication, with the ability to explain content decisions and tradeoffs to designers, engineers, and leaders
- You care about shipping great software more than anything else
NICE TO HAVE
- Experience designing content for AI products, assistants, agents, or conversational interfaces
- Experience with prompt engineering, model evals, or working with research teams on model behavior
- Experience across consumer and enterprise products, including admin, permissions, privacy, and billing flows
- Comfort working in code, such as editing strings, reviewing PRs, or prototyping with AI tools
- Experience with localization and writing for global audiences
NOTES FOR CANDIDATES
We want to see portfolio work where your words changed the product. Show us the problem, the options you explored, the language you shipped, and what happened after. We value end-to-end ownership, range, and impact, and we'd love to see examples of AI-related work, such as prompts, evaluations, or content you designed for model output.
Location: Remote
Workplace: Remote
ABOUT YOU
You have a knack for solving intricate Software Development problems. You're driven by the idea of writing code that simplifies life for millions of users globally. You're committed to continuous learning and enjoy tackling new challenges. Pair programming, code reviews, and collaborative brainstorming with a team are activities you find fulfilling. You're eager to work alongside developers, prospective customers, account executives, product managers, data scientists, and data analysts. You're a disciplined professional who consistently delivers high-quality code that you take full ownership of, communicates technical solutions with clarity and empathy, and takes the initiative to streamline processes for your team and yourself.
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built on a unique GPT-based architecture made specifically for commerce. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences, from search, to recommendations, to AI Shopping Agents and everything in between. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, Under Armour, home24, Birkenstock and The Very Group. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.
ABOUT THE POSITION
As a Software Engineer on the Prospect UI Solutions team, you will play a pivotal role in proving how Constructor will enhance the website discovery experiences for prospects. You’ll work closely with internal Engineering, Product and Sales stakeholders to seamlessly integrate prospective customer data with our services, supporting them to create an optimized and accurate product discovery demo.
In this role, you will:
- Fuel our proprietary AI models: Write JavaScript code to collect data essential for training our AI.
- Leverage Modern Tooling: Utilize AI as a tool to accelerate your fundamental capabilities and knowledge on how to solve problems with software; building solutions that you are proud to call your own
- Seal the deal: Collaborate with Data Analysts and Account Executives to secure deals with prominent e-commerce brands.
- Leverage your tech knowledge: Assist prospects in integrating their data and user interfaces with our services, focusing on ETL and front-end integrations.
- Deliver excellence: Validate the data provided by prospects and ensure the quality of the results returned by our services.
- Empower a sales force: Contribute to the development and scaling of demo infrastructure to enhance the demo capabilities of the Sales team.
- Be a part of the answer: Assist Account Executives by addressing technical inquiries from prospects about our services.
- Elevate the team: Provide support to your teammates through thoughtful code reviews and empathetic problem solving sessions.
- Visualize brilliance: Develop dashboards and alerts using React, Redux, Node, Clickhouse and OpenSearch.
- Innovate with purpose: Implement and test new features for our open-source JavaScript UI libraries and REST clients https://github.com/Constructor-io/.
- Collaborative contribution: Steer cross-team efforts to ensure our prospect's needs are at the forefront of our priorities, making you a key player in our strategic success.
- Champion team culture: Actively foster our team’s sense of community by expanding our roster of Friday team-building games and promoting a culture of empathy, personal growth, and support for others.
This role is ideal for any Software Engineer passionate about search technology, customer-focused solutions, and collaborative development.
REQUIREMENTS
- A minimum of four years of professional experience or relevant academic experience
- Excellent communication and interpersonal skills
- English on C1 level (CEFR) https://www.coe.int/en/web/common-european-framework-reference-languages/table-1-cefr-3.3-common-reference-levels-global-scale or higher
- Being able to attend regular meetings with teammates between 1400 and 1800 UTC, with working hours ideally starting some time in the range of 0900 and 1200 UTC.
- Strong foundation and experience with server-side and client-side programming languages
- Enjoys interacting with customers and solving new problems daily
- Able to pick up new technologies and design patterns quickly and loves learning them
- Experience with building User Interfaces utilizing front-end frameworks like (but not limited to) React, Vue or Angular
- Proven track record of building UIs with heavy consideration for friendly user experience
- Experience with automated tests like (but not limited to) Cypress, Jest, or React Testing Library
- Experience in JavaScript will be a strong asset for this role, but candidates with a proven Software Development background that demonstrate a willingness to quickly learn the language will also be considered
- Nice to have - TypeScript, Next.js, Tailwind, Storybook, Python and web scraping experience
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: United States (Remote)
Workplace: Remote
ROLE SUMMARY
Temporal powers durable execution for the world’s most demanding AI and enterprise systems. The Compute team at Temporal makes that durability feel effortless by building the managed compute primitives that run workers and other execution systems across Temporal Cloud.
We’re solving a hard platform problem: make compute transparent, elastic, safe-by-default, observable, and multi-cloud — without turning customers into infrastructure operators. We build platform primitives that span a variety of execution environments (e.g., serverless-style runtimes, containerized fleets, and customer-controlled deployments). Our work sits at the intersection of control plane + data plane: scaling decisions, isolation boundaries, multi-tenant safety, and production-grade observability. If you’ve built autoscaling systems, multi-tenant platforms, or cloud infrastructure, you’ll find a lot to love here.
See the "Compute team" link to read more --> Compute team https://temporalio.notion.site/Join-Temporal-s-Compute-Team-598b6bca8bf84d3babf3e8e2a22c283c
WHAT YOU'LL DO
Invent
- Create new managed compute primitives that feel first-class in Temporal Cloud: crisp abstractions, clean APIs, and an extension story across compute providers.
- Design self-optimizing autoscaling systems (signals, backstops, debouncing, guardrails) that scale worker fleets safely and predictably.
- Define the Open Source Server ↔ Cloud boundary for compute capabilities, keeping the architecture cohesive and maintainable.
Own
- Architect, build, and operate services on the hot path of task execution where performance and correctness are customer-visible.
- Deliver real-world cloud integrations (e.g., customer-account execution): IAM boundaries, secure credentials handling, networking constraints, quotas, and failure modes.
- Make operability a feature: SLOs, tracing/metrics, load and failure testing, incident reviews, and continuous hardening.
- Ship end-to-end: API design, rollout strategy, backwards compatibility, and long-term maintenance.
Teach
- Raise the bar through design docs, strong reviews, pragmatic technical leadership, and mentorship.
- Lead through influence across teams (Server, SDKs, Security, Control Plane) to land coherent platform changes.
WHAT YOU'LL BRING
- Significant experience building distributed systems or multi-tenant platform services (design, implementation, and production operations).
- Strong systems fundamentals: concurrency, performance, reliability, and failure-mode thinking.
- A record of shipping platform primitives used by other engineers/customers (APIs, control planes, data planes).
- Comfort owning outcomes: SLOs, incident response, and improving on-call quality over time.
- Excellent written communication and crisp trade-off thinking. (Go experience is a plus; judgment matters most.)
SUPER TO HAVE
- Experience building cloud compute platforms spanning physical servers, CPU/GPU resources, virtual machines, container orchestration, and networking.
- Experience extending Kubernetes through custom controllers and CRDs, and operating heterogeneous Kubernetes worker fleets.
- Experience with IAM/security boundaries for cross-account execution models.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Cayman Islands
Workplace: hybrid
About us
Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?
We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.
Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally
Our culture
We build trusted products that help people access and discover economic opportunities.
We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.
We’re a global team building products people can actually use, turning complex technology into something simple and reliable.
We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.
About the role
We're looking for a Principal Lead Counsel, Corporate & Finance, to join Aave Labs in the Cayman Islands, where our Group function is based. You'll be the senior legal lead on the corporate, compliance, treasury, finance and governance work that keeps the Group running, working closely with our Finance and Operations teams.
The Group is growing quickly, with new entities, licensed subsidiaries, a foundation and commercial relationships across multiple jurisdictions. You'll own the legal side of how the Group is structured, governed and funded, and make sure entity records, intercompany arrangements and treasury activity are properly documented, compliant and ready for review by banks, regulators, auditors and counterparties.
This is a senior, hands-on role for an experienced corporate or finance lawyer who can act as the Group's principal adviser on corporate and finance matters, advise boards and senior leadership with minimal oversight, and build out the function as the Group grows. Crypto experience is a plus but not essential. Strong corporate and finance fundamentals and a willingness to learn the industry matter more.
How you can make an impact:
Act as the principal legal adviser to Group boards, foundation councils and senior leadership on corporate, governance and finance matters
Manage the Group's legal entities across the Cayman Islands, UK, EU, US and other jurisdictions, including incorporations, dissolutions, statutory registers, filings and annual return
Build and run the Group's corporate compliance programme, including a compliance calendar of statutory, licensing and filing deadlines across all entities
Own Group-wide corporate policies, such as code of conduct, conflicts of interest, anti-bribery, sanctions, whistleblowing and personal account dealing, and run annual attestations and training
Track the ongoing corporate obligations of the Group's licensed subsidiaries, including FCA and MiCAR authorised entities, such as change in control notifications, director and officer approvals and annual returns, working with the regulatory and compliance teams
Support internal and external audits, bank and counterparty due diligence, and record-keeping and document retention requirements
Advise on and document treasury activity, including lending, borrowing, loan participations, custody arrangements and stablecoin and digital asset holdings
Work with Finance and external tax advisers on the legal structuring of transactions, including choice of contracting or lending entity, withholding tax considerations and transfer pricing support
Own the Group's signing authority matrix, document execution process and contract repository
Support the wider Legal team on commercial and regulatory matters as needed
Let’s connect if you have:
4+ years of post-qualification experience in corporate, finance or funds work, including significant time at a leading Cayman or other offshore law firm (or a leading onshore firm) and senior in-house experience
A track record as a trusted adviser to boards and senior leadership, leading complex transactions and managing external counsel with minimal oversight
Experience with entity management, board governance and corporate secretarial work across multiple jurisdictions
Experience building or running a corporate compliance programme, including policies, registers, attestations, training and a compliance calendar
Comfort working closely with Finance, Tax, Compliance, and Operations teams; familiarity with treasury operations, tax structuring or fund administration is a plus
Interest in or experience with crypto, DeFi or digital assets (helpful, not required)
Strong organisation and attention to detail, with the ability to run many workstreams at once and keep records accurate
Excellent communication and judgement, with the confidence to challenge and influence at the most senior levels
Willingness to be based in the Cayman Islands, with relocation assistance available for the right candidate
Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!
Equal opportunities statement:
Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
THE ADVENTURE AHEAD
As a Senior Product Engineer (full-stack with a back-end focus), you bring strong expertise in backend engineering alongside the ability and willingness to work across the full stack. You own features end to end, working across customer facing applications, services, APIs, and integration boundaries to deliver complete product outcomes.
Your primary strength may be building cloud native backend services and event driven systems, or developing complex frontend experiences and application architecture. We do not expect equal specialization in every part of the stack. We value strong fundamentals, depth in your primary area, and the ability to contribute effectively across system boundaries.
You work closely with Product, Design, QA, and other engineers to understand customer problems, make sound technical decisions, and take solutions from idea through production and iteration.
THE DAY TO DAY
- Own features end to end Take customer and product problems from discovery and technical design through implementation, production deployment, and iteration.
- Build across the stack Work across frontend applications, APIs, backend services, and integration layers to deliver complete customer outcomes.
- Bring technical depth Contribute strong expertise in your primary discipline while developing a broader understanding of the systems and technologies around it.
- Make good technical decisions Participate in architecture discussions, evaluate tradeoffs, and shape solutions that are scalable, maintainable, and pragmatic.
- Stay close to the product Partner with Product and Design to understand customer needs and translate them into effective technical solutions.
- Drive engineering excellence Contribute to strong testing, CI/CD, observability, code quality, and technical debt practices.
- Collaborate across functions Work with Engineering, Product, Design, QA, and platform teams to break down complex problems and deliver high quality software.
- Grow the team Support other engineers through code reviews, pairing, technical discussions, and knowledge sharing.
YOUR SUPERPOWERS
- Engineering depth and breadth Four to six or more years of software engineering experience, with strong expertise in either backend or frontend engineering and practical experience across the broader stack.
- End to end ownership Experience taking features from technical design through development, deployment, and production support.
- Strong fundamentals A solid understanding of software design, APIs, application architecture, testing, and maintainable production software.
- Cloud awareness Experience with cloud environments such as AWS and familiarity with modern CI/CD and observability practices.
- Product mindset The ability to understand customer problems, navigate ambiguity, and balance technical quality with meaningful delivery.
- Collaborative communication The ability to explain technical tradeoffs and work effectively across Engineering, Product, Design, and QA.
BONUS POINTS
- Cloud and event driven systems AWS serverless technologies, asynchronous workflows, distributed systems, or event driven architecture.
- Infrastructure and delivery Infrastructure as Code using CDK, Terraform, CloudFormation, or similar tools, plus CI/CD or deployment experience.
- Frontend architecture Large frontend applications, component architecture, state management, design systems, accessibility, or performance.
- Backend breadth Node.js and TypeScript services or experience with Go, Python, PHP, or other backend technologies.
- Production observability Monitoring, tracing, structured logging, metrics, and production diagnosis.
OUR STACK
Our product teams work primarily with TypeScript across frontend and backend development. Frontend applications include Angular and modern web technologies. Backend and platform systems span Node.js, TypeScript, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational and NoSQL databases, CI/CD, and modern observability tooling.
You do not need deep expertise in every technology we use. We are looking for engineers with depth in a primary discipline, strong software engineering fundamentals, and the ability to become effective quickly in unfamiliar systems.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Spacecraft Analysis Engineer
- Location: Espoo, Finland
- Department: Spacecraft Hardware
- Reports to: Spacecraft Analysis Team lead
- Employment type: Permanent
- Workplace model: Hybrid / Office
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Spacecraft Analysis team plays a key role in the development of the next generation of ICEYE’s SAR satellites and constellations, as well as the optimization and continuous improvement of the existing fleet.
As a Spacecraft analysis engineer you’ll be involved in all stages of the satellite and constellation design, CONOPs definition, and fleet operation optimization, through rigorous, physics-grounded analysis, working closely with engineers across all disciplines to make sure the spacecraft performs as intended, from the drawing board through to operations.
Coming up with creative ways to find answers to challenging engineering questions while working along a multidisciplinary team is part of daily life. As we control almost every aspect of our technology from hardware to software, you will work with world-renowned experts in a highly collaborative environment.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Feasibility and performance analysis during the all stages of the spacecraft design, including budgets, CONOPs, space and ground segment interfaces.
- Analyze, model, and optimize the performance of integrated SAR satellite systems.
- Support launch, early operations and commissioning activities, ensuring successful deployment and operation of the spacecraft.
- Perform mission analysis and develop flying rules to support system design.
- Lead initiatives to enhance reliability and performance for on-orbit operations.
- Support customers and program management with mission analysis, system documentation and on-orbit validation and verification.
WHAT WE’RE LOOKING FOR
Must haves:
- Degree in Space Engineering, Physics, Electrical Engineering or other relevant discipline.
- Understanding of fundamentals of physics in terms of space environment, attitude control, RF propagation, heat exchange, orbital dynamics etc.
- Ability to work along with multidisciplinary teams including all sorts of engineering, operations, project management and sales engineering.
- Great communication skills.
- Experience in systems engineering processes, requirements management, and verification methodologies.
- Ability to plan, perform and properly analyze results of an experiment, simulation, or test.
- Critical and analytical thinking,
- Coding and data analysis skills in Python and/or Matlab.
- Positive and proactive attitude.
- Regardless of the level of experience, the desire to learn new things and new ways to do engineering is a must.
Nice to haves:
- Ability to work with Linux operating systems.
- Proficiency with digital mission engineering in STK, Python.
- Hands-on experience with electronics lab equipment.
- Experience with mission critical systems design and troubleshooting.
- Relevant experience with complex systems design, implementation and operations.
- AI is quickly becoming a very relevant tool, the understanding of its capabilities and limitations, and the ability to use it as an analysis tool to obtain reliable data is also a plus.
APPLICATION PROCESS
- Talent Attraction Introduction
- Hiring Manager Alignment
- Task Assignment
- Technical Interview
- Director Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Belgrade, Remote
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.3 billion.
We are forming a new Observability team responsible for the design, evolution, and operation of our company-wide monitoring, logging, and tracing platforms.
This role is a key part of our strategic shift from Datadog to a self-hosted observability stack fully compliant with local regulatory requirements.
Today, we operate multiple observability systems — our legacy stack based on Datadog (logs, metrics, APM, RUM, dashboards, and alerts), and our new Elastic Enterprise platform used for storing audit, access, application, and database logs required by regulators.
On top of Elastic, we've built SOC2 and SIEM integrations with external vendors.
You'll be part of a small, highly technical team tasked with defining the future of observability at scale - designing, migrating, and maintaining the platforms that power visibility, compliance, and reliability across the organization.
Key Responsibilities
Build and operate the new observability platform on Kubernetes: telemetry collectors, Kafka-based ingestion and processing pipelines, and the storage and query layer (ClickHouse, Mimir, Grafana)
Automate the platform's infrastructure with Terraform, Helm, and GitOps tools (FluxCD or ArgoCD)
Troubleshoot the platform end-to-end (Kubernetes, networking, pipelines) and plan its capacity, scaling, and cost
Support and gradually decommission Datadog integrations (logs, metrics, APM, RUM, dashboards, monitors)
Collaborate with SRE, DevOps, and Security teams to ensure observability compliance and integration with SOC 2 / SIEM
Define and maintain SLIs, SLOs, and error budgets, improving service reliability and visibility
Document architecture, data flows, and best practices
Requirements:
Must Have:
4+ years in DevOps / SRE / Observability roles
3+ years running production workloads on Kubernetes
Infrastructure as code with Terraform
Solid Linux and networking fundamentals, with strong troubleshooting skills
Hands-on experience with a public cloud (GCP preferred; AWS or Azure also welcome)
Experience building or operating data pipelines or observability platforms at scale (logs, metrics, or traces)
Nice to Have:
OpenTelemetry (collectors, Grafana Alloy, instrumentation)
Kafka and ClickHouse
Hands-on experience with metrics and APM platforms (Prometheus, VictoriaMetrics, Mimir, etc.) and Grafana
Elastic Stack (Elasticsearch, Logstash, Kibana, Beats, log shippers)
Exposure to security monitoring / SIEM integration
Service mesh (Istio)
Why Join Us:
Design and build the next-generation observability platform from the ground up
Work on large-scale, multi-cloud environments with a strong focus on compliance, performance, and reliability
Collaborate with experienced SRE, Platform, and Security teams
Competitive compensation, remote work model, and strong career growth opportunities
What we offer:
Full-time B2B contract
Fully remote setup, work from anywhere in Europe
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Relocation support is available to our hubs in Armenia, Georgia, Serbia, and Spain, including flights, temporary accommodation, and legal setup.
Location: Sydney
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As an Enterprise Account Executive you will drive growth and success for our Large Enterprise Accounts across industries in Australia. The individual will be responsible for account development and customer satisfaction by building key relationships and ensuring clients achieve maximum business value from UiPath solutions. In our high-growth culture, you'll have significant autonomy to help shape the company while transforming how clients perform in the digital era. You will serve as the voice of our existing clients and collaborate with cross-functional teams to influence UiPath's product development strategy.
This is what you'll do at UiPath
● Engage meaningfully with C-level and Executive decision makers to identify new opportunities with large enterprise customers
● Develop and execute multi-year strategic account plans to meet or exceed customer business objectives and maximize wallet share
● Manage and forecast sales pipeline to consistently achieve revenue targets and company goals
● Serve as the primary point of contact for all matters specific to key accounts
● Collaborate with internal teams to enhance customer satisfaction, address challenges, and create seamless experiences
● Drive a culture of sales excellence through consistent implementation of sales processes and performance metrics
● Build strong relationships with industry influencers, customers, and partners to enhance UiPath's market position
● Conduct regular business reviews with stakeholders to ensure alignment and strategic progress
This is what you'll bring to the team
● 10+ years of experience in field sales, selling enterprise application SaaS/Cloud/Software solutions to C-level executives
● 5+ years of experience selling specifically to Large Enterprises
● In-depth understanding of multiple industries
● In-depth understanding of enterprise specialized subjects like: Accounting/Supply Chain/R&D Engineering/Sales & Marketing/Human Resources etc.
● Nice to have - understanding about the framework of consulting & technology advising project
● Nice to have - understanding about AI fundamental architecture
● Proven record of accomplishment of consultative strategic sales with C-level prospects
● Experience building relationships with CXO’s of large enterprise customers for business expansion
● Demonstrated success in developing long-term account strategies with existing customers
● Exceptional written and verbal communication skills of English with ability to engage at all organizational levels
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years.
You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows.
WHAT YOU'LL DO
- Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts
- Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity
- Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity
- Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud
- Own the fleet's source of truth for hardware, software, and the physical environment
- Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA
- Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure
- Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it
WHAT WE'RE LOOKING FOR
- Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation
- Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management
- Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions
- Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail
- Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt
- Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP)
- Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it
- Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up
NICE-TO-HAVES
- Operating bare metal fleets at a scale of thousands of hosts
- Experience on a bare metal or datacenter build-out from its early days
- Running a hybrid environment, or moving workloads between public cloud and owned hardware
- DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS
- Building reconcilers or state machines for physical infrastructure
- Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale
- Building internal platforms or APIs used by other infrastructure teams
- Based near our colocation sites, or able to visit them regularly
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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Location: Ho Chi Minh City, Vietnam
Position Overview
As a Senior/ DevOps Engineer, you will scale, and secure our hybrid cloud and on-premises infrastructure across AWS and private bare-metal/virtualized environments. In this role, you will champion an AI-first paradigm—integrating AI tooling into root-cause analysis, proactive observability, automated incident response, and continuous deployment workflows. You will partner closely with engineering teams to streamline delivery pipelines, drive zero-downtime reliability, and ensure our mission-critical custody platforms operate at peak performance and bank-grade security.
Duties & Responsibilities
Architect, provision, and maintain multi-region AWS cloud environments alongside on-premises virtualized infrastructure using declarative Infrastructure-as-Code (Terragrunt).
Manage, harden, and scale production-grade Kubernetes clusters, implementing advanced ingress controllers, service mesh, Helm/Kustomize packages, and GitOps pipelines (ArgoCD, Crossplane).
Deploy, administrate, and maintain dedicated blockchain nodes (RPC, validator, archive, and sentry nodes across multiple Layer 1 and Layer 2 protocols), ensuring data synchronization, high availability, and network health.
Enforce cloud and container security controls, including fine-grained Kubernetes network policies, IAM least-privilege models, secrets management, Kubernetes, linux and AWS security control and automated vulnerability scanning across delivery pipelines.
Integrate AI and AIOps tooling into observability suites to deliver intelligent anomaly detection, automated log parsing, and rapid root-cause analysis.
Performance tune microservices and cloud workloads to handle spikes in high-volume, low-latency financial transactions with high availability.
Requirements
6–10 years
of experience in Linux/Unix systems engineering, cloud architecture, and modern DevOps/SRE practices.
Kubernetes Mastery
: Production-grade expertise deploying and managing Kubernetes clusters (EKS / bare-metal), Helm, Kustomize, service mesh, and GitOps tooling (ArgoCD).
Infrastructure as Code (IaC)
: Deep hands-on experience using Terraform, Terragrunt, following modular, DRY configuration patterns.
Programming & Automation
: Able to understand at least one modern programming language with harness engineering skills.
Cloud & Hybrid Compute:
Extensive production experience in AWS, paired with practical exposure to on-prem virtualization platforms (e.g., Proxmox, VMware ESXi, or KVM).
Deep Networking Knowledge:
Strong grasp of OSI layer fundamentals (TCP/UDP, BGP, DNS, TLS/mTLS, HTTP/gRPC) and comfort debugging live traffic issues on the wire (tcpdump, Wireshark, eBPF).
Databases & State:
Operational familiarity with relational databases and middleware (PostgreSQL, MariaDB/MySQL, Mongodb, Redis, Kafka), including replication, failover strategies, and backup pipelines.
Eligible to work in Vietnam.
Bonus Experience
Hands-on experience in cybersecurity practices (e.g., threat modeling, penetration testing remediation, SOC 2/ISO 27001 compliance standards, or managing HSM/KMS cryptographic infrastructure).
Direct experience running, securing, and maintaining blockchain nodes (e.g., Ethereum, Bitcoin, EVM/Cosmos-based chains, or Solana).
Benefits
As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space.
At Hex Trust, we are proud of our
H.E.X.
culture:
H
eart
E
mpowerment
X
cellence
Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also:
Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.)
Access to Corporate Discounts and exclusive Employer Perks
Medical & Retirement Plans
Professional Learning and Development Opportunities
Elevate your work using cutting-edge technology
Fun & friendly office spaces
Regular company & social events
Location: United States, Los Angeles, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
This dynamic and engaging role does not fit the average definition of Desktop Support. For SIE, the Studio IT Support Specialist possesses a mix of skills and experience often found in desktop support, helpdesk support, and limited system administration roles. The right candidate is versed in a wide range of client technologies; responsible not only for the implementation, maintenance, and highest level of performance-tuning for client technology, but also for being a champion for strong working relationships directly with the people who utilize that technology.
This is a customer service role and fundamental to its success is building and maintaining support relationships with internal business teams, promoting trust, setting expectations, and achieving mastery in customer service. The ability to think strategically at a fast pace, troubleshoot accurately while navigating interdependent system relationships - all while driving multiple projects to successful completion in tight, shifting deadlines is the reality of this position.
Please note, flexibility is possible, but this is considered primarily an in-person role, reporting daily to offices located in Playa Vista, California.
Responsibilities
Provides helpdesk-level coverage and support for internal clients. Coordinates, diagnoses, and troubleshoots incoming employee requests for support according to established process
Solve technical problems and information technology issues involving desktop, laptop or network services from local personnel or from employees using network remote access. Collaboration with remote sites expected and encouraged
Provides timely resolution of problems or escalation on behalf of customer to appropriate technical personnel
Develops, documents, and implements standard operating procedures and customer service guidelines relating to IT support
Perform first and second level support and troubleshooting for workstation and mobile systems
Interface directly with end users in peril, lead and resolve incidents in an efficient manner, maintaining the highest levels of customer support and response and documentation
Establish and maintain direct relationships with business units as a support resource and contributing member of the production teams
Organize the unorganized, communicate thoroughly and effectively in both written and spoken forms across the organization
Work proactively to determine potential issues existing in the environment. Apply performance tuning techniques where applicable
Research new trends and technologies leading to testing and justification for deployment
Be available off hours for scheduled, week-long on-call rotation, which will include system maintenance and emergencies
Perform inventory management of team resources; apply workstation build technologies; configure and manage user account provisioning and permissions
Be eager to grow and develop new skills and tackle special projects as needed
Required Skills
Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully
Strong in client hardware and software; strong email/messaging troubleshooting experience; mid to advanced-level understanding of Windows OS
Skilled in Microsoft Office Suite and other production software packages (Adobe, Maya, Zbrush, Visual Studio, etc.)
Must understand and communicate system concepts to end users and technical teams
Familiar with the concepts behind a distributed build system; familiarity with enterprise storage technologies (SAN, NAS, iSCSI) – NetApp, EMC, HDS ideal; basic networking skills; knowledge of security concepts and industry best practices
Ability to interact effectively with others on varying technical competency, vendors, management, and staff
Manages competing demands and changes approach or method to best fit the situation
Takes responsibility for own actions; Keeps commitments; Commits to required work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Is actively available to respond when needs arise
Volunteers readily, undertakes self-development activities and seeks increased responsibilities; asks for and offers help when needed
Operates across multiple projects concurrently and assumes responsibility for implementation of projects
Preferred Experience
Linux and Mac OS experience are both a strong plus
Appreciation and experience in platform/computer/video gaming is preferred!
#LI-SMS
#LI-AM1
Avoid Recruitment Scams/Phishing Attempts:
Please be aware that any official outreach in response to your application will always be done from a
@sony.com email address
. Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying.
Anyone using an email that is not @sony.com is
not affiliated with us
and should be
reported
either
via the platform they are contacting you on
or
directly to your email service
as a phishing attempt/scam.
At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$41.35
—
$62.02 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based within U.S. and Canada Eastern or Central Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery
- Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit
- Partner with our engineering team to document and reproduce bugs
- Surface trends and insights from customer feedback to the team at large to inform product choices
- Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations
What we're looking for
- Passion about technology, quality, and Linear’s mission
- Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users.
- Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile).
- Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role.
- Based in U.S. or Canada Eastern or Central Time only.
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $95,000—$135,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: Canada; Calgary; Vancouver; Toronto; Montreal
Workplace: Remote
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans: by way of feedback. By labeling, ranking, auditing, prompting, red teaming, and correcting output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech.
Cohere is looking for Data Annotation Specialists with backgrounds and skills in Trust & Safety, Content Moderation, AI model evaluation, or related fields. This role is best suited for candidates who bring strong contextual judgment, cultural and bias sensitivity, and experience applying nuanced guidelines to complex or ambiguous content. Successful candidates will be highly detail-oriented, comfortable evaluating safety risks across different user intents and scenarios, and able to make consistent, well-reasoned decisions with a high degree of independence after onboarding.
IMPORTANT CONTEXT ON THIS ROLE: In this position, you will be asked to engage with human-generated and model-generated tasks which will sometimes mean intentional exposure to explicit content. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional, adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include but are not limited to those of a sexual, violent, or psychologically disturbing nature.
Please Note: This is a part-time, remote, independent contractor position available within Canada or the United States. We seek candidates who are able to commit to 16 hours per week minimum at a 45 CAD/hour or 40 USD/hour contract rate, depending on your location, consisting of 30/hour base pay plus 15 CAD or 10 USD/hour hazard pay. This role is BYOD 💻 - Bring Your Own Device (laptop). 12 months contract with potential for extension.
As a Data Annotation Specialist on safety task, you will:
- Evaluate and improve model safety: Label, rank, audit, and refine human- and model-generated text to improve safety, quality, and policy alignment, including content that may be sexual, violent, or psychologically disturbing.
- Apply nuanced safety judgment: Assess model outputs against detailed safety guidelines, rubrics, and style standards, making consistent decisions across ambiguous, sensitive, and context-dependent cases.
- Create prompts and safety test cases: Write realistic prompts, user scenarios, and adversarial examples that help evaluate model behavior across safety categories and uncover unsafe, evasive, over-refusing, or policy-inconsistent responses.
- Support quality and calibration: Identify annotation inconsistencies or unclear guidelines, and provide actionable feedback on recurring edge cases, model failures, and opportunities to improve data quality.
- Work with precision and independence: Complete annotation tasks with strong attention to detail, while being comfortable working independently in a globally distributed, asynchronous team environment.
You may be a good fit if you have:
- 1+ years of experience in Content Moderation,Trust and Safety, AI data annotation, LLM evaluation, or a related analytical role, with exposure to quality assurance, red teaming, and/or prompt engineering preferred.
- Experience applying detailed guidelines to complex and sensitive content, with strong contextual and sociocultural judgment and the ability to recognize and manage personal bias.
- Emotional resilience: Comfort working with content that contains unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
- Excellent command of written English and the ability to clearly justify content evaluations, including why an output is safe, unsafe, high-quality or low-quality. Bonus points if you are fluent in another language!
- Strong attention to detail and commitment to accuracy, with the ability to maintain consistency across high-volume and monotonous tasks.
- Strong execution in a remote environment, including good time management, comfort using new tools, and the ability to work independently in a global, asynchronous team.
The Candidate Journey:
Initial Screening - Once you have submitted your application our Talent Team will review your resume and writing samples.
Virtual Annotation Test - This assignment will test your written skill through various language-based tasks, such as a a writing sample, interacting with a chat bot, and more.
Video Screen - If selected to move forward, you will have a short video call with a member of our Operations Team!
Offer - Independent Contractor Agreement
As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously, although we ask you to declare if any of these are with a direct competitor of Cohere and maintain IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by contractors invoicing for services provided pursuant to the terms of our agreement with the contractor.
It is important to understand that as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and therefore compensation for services when Cohere does not require as many hours of services in a week.
Prospective candidates, please be advised: this role involves working with human generated and model generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
ОфисseniorAustin; Bellevue; Experience leading distributed teams or collaborating across North American and European time zones
San Francisco; New York City
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридWillingness to be based in the Cayman Islands, with relocation assistance available for the right candidate
seniorCanada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
ГибридseniorToronto, Ontario
ГибридEspoo
УдалённоseniorBelgrade, Remote; Relocation support is available to our hubs in Armenia, Georgia, Serbia, and Spain, including flights, temporary accommodation, and legal setup
ОфисSydney
УдалённоRemote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada
seniorHo Chi Minh City, Vietnam
United States, Los Angeles, CA
Canada
United States
УдалённоСША; This role is open to candidates based within U.S; You can work from anywhere within those time zones
УдалённоCanada; Calgary; Vancouver; Toronto; Montreal; We welcome applicants from all backgrounds and are committed to providing equal opportunities