Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
We're looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
As a
Staff Software Engineer
, you'll contribute to the technical direction for the team. You'll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You'll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.
This is a full-time, fully remote position. We do expect the successful candidate to come to the Oakland, CA office from time to time.
Technologies You'll Use
Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll Do
Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
Drive technical initiatives across the team's responsibility areas — discovery API, catalog, lineage, and run history
Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
Coach and mentor engineers, demonstrably improving the quality of code across the team
Write technical specs, document common components, and keep the team accountable for necessary project documentation
Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
Participate periodically in the on-call rotation
Skills We're Looking For
8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
Deep expertise designing and owning subsystems in distributed, cloud-based systems
Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience architecting metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$196,033
—
$245,041.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
The Product Infrastructure team works on creating abstractions and data models that solve enduring problems across the stack. We solve problems that span multiple product surfaces and typically stretch across both front-end and backend and unblock new product avenues that were previously challenging to create.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Shape and build the core frameworks that enable reading and writing data in Notion, integrating feedback from internal customers along the way, using whatever tools are required for the job, such as AWS, Postgres, NodeJS, TypeScript, React on the frontend.
- Design new systems and abstractions that improve developer productivity, reliability, and performance by handling entire classes of problems up-front for product engineers.
- Solve hard technical challenges such as designing abstractions for efficient traversal of the user content graph, building a system to sync user content for offline use, or scaling our permission model to serve large customers with complex content.
SKILLS YOU'LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution.
- Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.
- Strive for simplicity: You think critically about the implications of what you're building, and aim for the most simple and well-crafted design. You understand the consequence of complexity, and are motivated to eliminate them.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
NICE TO HAVES:
- You have leveraged the features of typed languages (e.g. TypeScript, Flow) to drive code migrations, or have implemented your own data modeling paradigms (e.g. writing your own ORM, sync engine, or query language).
- You have seen how fundamental abstractions scale within a large codebase, and are curious about how different organizations solve similar problems (e.g. TAO by Meta, Zanzibar by Google).
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $200,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Run the operating cadence for Product & Engineering: own planning cycles, roadmap workflows, initiative tracking by region and channel, sequencing, and team initiatives
- Design and optimize key processes like product reviews, retrospectives, team syncs, and engineering demos to drive clarity and velocity
- Build and maintain operational artifacts such as roadmaps, planning docs, capacity trackers, dashboards, and retros that keep everyone informed and aligned
- Coordinate cross-functional initiatives that span Product, Eng, Design, Legal, Sales, and Ops teams—driving alignment, timelines, and accountability
- Partner with product, eng and marketing leads to create scalable frameworks for goal-setting (e.g., OKRs), prioritization, and execution
- Analyze operational data and team feedback to identify friction points and implement systems that improve execution and outcomes
- Build our outbound operations playbook in partnership with Legal and continuously improve it so we can scale with quality and intention
WHAT YOU’LL BRING
- 6-8+ years of experience in Product Operations, Business Operations, or Program Management in a high-growth, product-led company
- Proven track record building and scaling operational processes from scratch
- Highly organized and methodical; you bring rigor, structure, and momentum to ambiguous situations
- Excellent written and verbal communicator—clear, succinct, and persuasive across stakeholders and levels
- Experience partnering closely with Legal, Product, and Engineering, including third-party vendors
- Comfortable using tools like Linear, Figma, Google Drive, or similar to create systems that stick
- Strong analytical instincts with proficiency in Excel/Sheets; SQL or dashboard experience is a plus
EVEN BETTER…
- Experience with outbound communications compliance — TCPA, do-not-call, SMS sender registration, or similar calling/messaging regulations in the US or internationally
- Experience at an early-stage startup or scaling product org
- Familiarity with OKR frameworks, roadmap tools, or product analytics platforms
- Background in product management, engineering, or consulting/strategy with deep operational exposure
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Run the operating cadence for Product & Engineering: own planning cycles, roadmap workflows, initiative tracking, sprint planning, and team initiatives
- Design and optimize key processes like product reviews, retrospectives, team syncs, and engineering demos to drive clarity and velocity
- Build and maintain operational artifacts such as roadmaps, planning docs, capacity trackers, dashboards, and retros that keep everyone informed and aligned
- Coordinate cross-functional initiatives that span Product, Eng, Design, Brand, Sales, and Ops teams—driving alignment, timelines, and accountability
- Partner with product, eng and marketing leads to create scalable frameworks for goal-setting (e.g., OKRs), prioritization, and execution
- Analyze operational data and team feedback to identify friction points and implement systems that improve execution and outcomes
- Build our internationalization operations playbook and continuously improve it so we can scale with quality and intention
WHAT YOU’LL BRING
- 6-8+ years of experience in Product Operations, Business Operations, or Program Management in a high-growth, product-led company
- Proven track record building and scaling operational processes from scratch
- Highly organized and methodical; you bring rigor, structure, and momentum to ambiguous situations
- Excellent written and verbal communicator—clear, succinct, and persuasive across stakeholders and levels
- Comfortable using tools like Linear, Figma, Google Drive, or similar to create systems that stick
- Strong analytical instincts with proficiency in Excel/Sheets; SQL or dashboard experience is a plus
EVEN BETTER…
- Experience at an early-stage startup or scaling product org
- Familiarity with OKR frameworks, roadmap tools, or product analytics platforms
- Background in product management, engineering, or consulting/strategy with deep operational exposure
- Experience with vendor management and localization expansion efforts
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: UK: Manchester (Landmark, St Peter's Square, 1 Oxford St)
Workplace: Hybrid
OUR PURPOSE
At Melio, we’re here to supercharge small businesses. By making business payments more efficient every day, connecting them with powerful technology, and empowering a community behind them, their potential is limitless. We don't just solve issues; we consider ourselves Brand Builders who help small businesses thrive by maximizing the value they get from Melio.
HOW YOU’LL MAKE AN IMPACT
We are seeking a high-performing, analytical, and strategic CX Workforce Management (WFM) Manager to lead and elevate our global Customer Experience workforce strategy. In this critical leadership role, you will be responsible for end-to-end WFM functions; including long-term capacity planning, multi-channel volume forecasting, scheduling optimization, real-time management, and operational analytics across internal global teams.
The ideal candidate thrives in a fast-paced, data-driven environment, possessing deep expertise in omni-channel contact center metrics, modern WFM platforms, and predictive modeling. You will act as a strategic business partner to Operations, Finance, and People teams, ensuring we balance exceptional customer experience (SLAs/CSAT) with operational efficiency and agent well-being.
WHAT YOU’LL DO
Strategic Forecasting & Capacity Planning
- Develop, maintain, and refine multi-channel forecasting models (voice, email, chat, messaging, and AI/bot handoffs) using historical data, product roadmaps, marketing campaigns, and seasonal trends.
- Build 12-to-18-month rolling long-term capacity models to guide hiring strategy, onboarding timelines, shrinkage allocations, and budget planning in partnership with Finance and Talent Acquisition.
- Conduct scenario modeling and risk analysis to evaluate business changes, product launches, or operational pivots.
Scheduling & Real-Time Execution
- Oversee the creation and optimization of agent schedules, ensuring optimal coverage against interval-level demand while honoring staff preferences, local labor laws, and shift flexibility.
- Lead Real-Time Analysts to manage intra-day performance, shrinkage, adherence, and queue dynamics, implementing dynamic tactical adjustments to safeguard SLAs.
- Establish robust processes for PTO management, training allocation, dynamic offline time, and overtime deployment.
Analytics, Insights & Continuous Improvement
- Design and deliver executive-level WFM dashboards tracking KPI variances (Forecast vs. Actuals, Occupancy,Adherence, Cost per Contact, SLA attainment).
- Leverage advanced analytics to identify operational bottlenecks, handle time anomalies, and automation opportunities, translating data into actionable operational recommendations.
- Own the selection, optimization, and continuous improvement of enterprise WFM technology platforms and integrations.
People Management & Team Leadership
- Directly manage, mentor, and develop a high-performing team of WFM Analysts, Data Analyst, and Real-Time Coordinators.
- Establish clear team KPIs, operational standards, and career development pathways within the Workforce Management function.
- Conduct regular 1:1s, performance evaluations, and skill-building sessions in forecasting methods, statistical analysis, and WFM tools.
- Foster a collaborative, growth-oriented culture that balances operational efficiency with employee engagement and well-being.
SUCCESS LOOKS LIKE
- Success in this role means transforming our workforce management into a competitive advantage by delivering high forecasting accuracy (±5% target variance) across all customer channels while optimizing agent occupancy and labor spend.
- Seamlessly unify internal and outsourced BPO operations through rigorous SLA governance, dynamic capacity models, and automated scheduling workflows.
- Ultimately, you will elevate the function by cultivating a high-performing WFM team, maintaining optimal service levels, and directly impacting both customer satisfaction (CSAT) and operational profitability.
WHAT YOU’LL BRING WITH YOU
Critical competencies
Experience
- Data-Driven Decision Making: Converts complex datasets into intuitive operational strategies.
- People Empowerment: Mentors and elevates WFM team members to build analytical capability and leadership.
- Cross-Functional Influence: Translates WFM technicalities into clear business impacts for FP&A and Executive leadership.
- Agility & Resilience: Thrives in high-growth, changing environments with rapidly shifting volume dynamics.
- 7+ years of dedicated Workforce Management experience in a high-volume omni-channel CX/Contact Center environment, with at least 3+ years in a senior manager or leadership role directly managing WFM teams.
- Advanced hands-on proficiency with enterprise WFM platforms (e.g., Nice CXone, Verint, Assembled) and CRM/CCaaS tools (Zendesk, Salesforce, Talkdesk).
- Bachelor’s degree in Business Administration, Data Analytics, Statistics, or equivalent operational experience preferred.
- Proven track record of hiring, developing, and retaining high-performing WFM and analytical talent.
Location: United States; Ireland; Spain; Europe; Germany; Belgium; Switzerland; Denmark; Portugal; Poland; United Kingdom; Netherlands; France
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
Productions is the 'done for you' managed services wing of ElevenLabs made for creators and media businesses. We bring together our AI audio tools and human experts to unlock human-edited dubs, audiobooks, and more in 15+ languages directly on the ElevenLabs platform.
HERE ARE A FEW RECENT PROJECTS PRODUCTIONS HAS HELPED BRING TO LIFE:
- Dubbing for some of the world's biggest creators (DudePerfect, Lex Fridman, Andrew Huberman), media businesses (Headspace) and broadcasters (Mediaset)
- Audiobook production for leading publishers and digital storytelling platforms
- Voice creation, sound design, and other audio engineering services for ElevenLabs' largest customers
- You can learn more about Productions here: https://elevenlabs.io/productions
AS AN AUDIO ENGINEERING & POST-PRODUCTION LEAD, YOU WILL:
- Lead a team of talented Audio Engineers
- Create, refine, and iterate on custom voices for ElevenLabs customer using different techniques
- Clean, edit, and prepare customer audio to ensure optimal cloning and generation quality
- Provide hands-on training and technical guidance on ElevenLabs tools and best practices
- Join customer calls, support creative direction, and act as a fractional audio engineer for their workflows
REQUIREMENTS
- 10+ years experience in audio engineering, sound design, mixing/mastering, or related media fields
- Experience working directly with clients, creative teams, or technical stakeholders
- Strong proficiency with DAWs (e.g., Pro Tools, Reaper, Logic, Ableton)
- Deep intuition for voice characteristics, timbre, clarity, and performance nuance
- Ability to translate ambiguous customer needs into clear audio and voice-design solutions
LOCATION
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams.
You will lead the Dedicated Platform Integration team, responsible for the integration of third-party and modular features in the GitLab ecosystem, for Dedicated platform hosted SaaS.
Key Responsibilities:
Enable effective execution with Quality and Speed, in partnership with the team’s Product Manager
Ensure 3+ 9s availability of Dedicated infrastructure, ensuring security and automating for maximum scalability and number of tenants.
Provide clear direction, meaningful feedback and foster an environment where meaningless toil gets ruthlessly automated and Devops ownership is enforced.
Continuously improved owned artifacts in a direction of optimizing platforms for self-service ownership of production for feature implementers.
Recruitment, onboarding and development of excellent and productive team members.
Be a role model for the team: provide Proof of concepts, agentic mindset and extreme simplification of processes and removal of human toil. Show and Tell, not only Tell.
Role model Incident Management best-practices, lead in fast resolutions, escalations and train and codify best practices to the whole of GitLab
Data driven approach to prioritization, impact quantification and management of risk and technical debt.Able to use AI to demonstrate concepts and translate technical complexity to drive stakeholder decisions.
What you'll bring:
Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy
Experience with fleet management products, including Terraform, AWS and automated provisioning at scale (20+ clusters)
Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there
Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps
A history of building and managing high-performing, accountable team cultures, including managing out when necessary
Comfort driving complex projects to completion without relying on a dedicated TPM
Experience leading distributed and remote teams effectively
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: CAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West)
Workplace: Hybrid
ABOUT THE ROLE
Millions of small businesses and their advisors use Xero reports and insights to decide what to do next. AI is changing how people understand their finances faster than any shift since the cloud, and Reporting & Insights is where Xero meets that change. Over the next few years we’re evolving reporting and insights for the agentic era, where customers ask an AI about their numbers as often as they open a Balance Sheet. As the senior technical leader for Reporting & Insights, you’ll set the multi-year technical direction, from the reports businesses file to the insights that tell them what to do next. You’ll also help hire the first Reporting & Insights engineers in Vancouver and decide how they work.
THE TECHNICAL CHALLENGES
Set a 3-year architecture across Reporting & Insights. Reporting and Xero Analytics run on a mix of modern services and systems that have grown with Xero over many years. You’ll define one target state across both, decide how they build on Xero’s data platform, and secure the investment to get there. You’ll design for high throughput, low latency and resilience, so reporting and insights scale with Xero’s largest and most complex customers.
Evolve the platform without breaking trust. Accountants file tax returns from these numbers, so correctness comes first. You’ll lead the evolution of the data foundations behind about 150 reports, sequenced across teams and organisational boundaries. Customers keep the numbers they trust, on foundations built for what comes next.
Make reporting and insights AI-native. AI changes what reporting and insights can be: answers to plain-language questions, insights that reach customers where they work, and analysis that once took an accountant hours. Every answer still has to reconcile to the ledger. You’ll define the foundations: how agents query financial data safely, how answers stay grounded and explainable, and how we prove correctness at scale. We want teams across Xero to build on what you create.
IMPACT
In your first six months you’ll own the Reporting & Insights architecture and set a direction for the data platform and the evolution of both products that engineering, Product and leadership back.
At twelve months you will have:
- Set a multi-year technical strategy for Reporting & Insights
- Delivered new foundations for the first major report families, setting Reporting & Insights up for its next phase of growth
- Opened Reporting & Insights to bigger businesses, with performance that scales to our largest customers
- Put shared foundations for AI-native reporting and insights into production
- Grown the Lead and Senior Engineers around you and raised the technical bar across the group
Beyond year one, you’ll shape where Reporting & Insights goes next, and help steer Xero’s wider data and AI direction alongside the leadership team.
OWNERSHIP
You’re the senior technical voice for Reporting & Insights. You own the multi-year technical strategy and target architecture, and you make the calls that cross team and domain boundaries. You shape the roadmap with the GM and Product, decide where we invest in foundational capabilities, and align teams across regions behind one direction. You stay hands-on where it counts: reference implementations, foundational frameworks and the hardest architecture problems
WHO YOU’LL WORK WITH
You’ll report to the GM of Engineering. You’ll partner with the engineering managers and teams across Reporting & Insights, who know these products and their data in depth. You’ll shape the product and AI roadmap with the Reporting & Insights Product leads. You’ll also work with Principal Engineers and platform teams across Xero, including the accounting core and data platform teams that own systems we depend on.
WHAT YOU BRING
Must-have:
- You’ve set technical strategy for a domain or portfolio over a 2 to 3 year horizon, and aligned multiple teams behind it.
- You’ve led the evolution of a large, high-traffic, correctness-critical system across organisational boundaries.
- You have depth in high-throughput, low-latency, resilient distributed systems and data-heavy architecture, and you still contribute hands-on where it matters.
- You connect external shifts, AI above all, to product and architecture strategy, and you know where LLMs and agents belong in a system.
- You grow leaders. You’ve mentored Lead and Senior Engineers into bigger roles, and your writing turns complex direction into decisions people act on.
Nice to have:
- Financial, reporting or analytics domain experience
- LLM or agent-based features in production
- .NET and AWS
- A presence in the wider tech community through talks, writing or open source
HOW WE WORK
We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions.
WHERE WE WORK
We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington.
OUR HIRING PROCESS
1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role.
2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios.
3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity.
4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency.
5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles
COMPENSATION & TOTAL REWARDS
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is $227,700 - $284,600 CAD.
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Warsaw, Poland; Prague, Czechia; Sofia, Bulgaria; Bucharest, Romania; Madrid, Spain; Tbilisi, Georgia
CloudLinux
is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.
Check out our website for more information
https://cloudlinux.com/
Imunify360 Security Suite
is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. Imunify is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention.
The mission
We protect web hosting providers and the sites running on their infrastructure through a defense-in-depth stack: web-server-layer WAF, runtime application self-protection for PHP, deep application integrations (WordPress plugins and similar), a malware scanner with cleanup capability, and network-layer firewalls and IP reputation. The pieces talk to each other, and the threat intelligence they generate at scale powers detection across the stack.
Node.js is the segment of the hosting market growing fastest, and the next layer we want to build for it is runtime protection inside the Node.js process itself. Most Node.js workloads on managed hosting today are AI-generated web apps deployed by non-technical owners who can't, won't, and shouldn't be expected to patch their own code or audit their own dependencies. We're going to defend those apps anyway — at runtime, without their cooperation, without breaking them.
You'll build that runtime protection layer end-to-end.
What you'll own
The product. A brand-new product line, yours to define — what we intercept, what we don't, what the customer-visible surface looks like.
The technical approach. Instrumentation strategy, deployment shape, programming language — all open. You'll consult with our architects but the direction is yours.
Implementation, end to end. You'll have the full tooling stack we provide — LLM subscriptions, modern dev infrastructure, the works. Use what makes you fast.
Methodology. How you build conviction in your detection logic — your call.
Cross-layer signal. Our existing stack produces threat intelligence at unmatched scale: tens of millions of monitored sites, petabyte-scale malware sample storage, real-time domain and URL reputation, IP-level attack feeds. These are available for you to plug into. Use what helps.
How we'll measure success
The product is held to four numbers: runtime overhead, false positives, false negatives, and customer-escalation volume. They reflect what hosting providers and their customers care about. Hit them well and the product runs inside a meaningful slice of the modern Node.js web.
What we're looking for
An experienced researcher or engineer who can build and iterate on a brand-new product, driving both the research and the development. The hard part of this work is knowing what's malicious, what's vulnerable, and what's just an unusual but legitimate pattern — and being right about it across the long tail of frameworks, libraries, and customer code we'll encounter in production.
Requirements
Must have:
Proven experience building and shipping a new product, security solution, major feature, or technical system from scratch.
Strong evidence of end-to-end technical ownership, from initial investigation and architecture through implementation, release, and production iteration.
Strong web application security knowledge and current knowledge of practical exploitation.
A working sense of how detection rules behave at scale — what catches attackers without flagging the long tail of legitimate code.
Ability to start as the PM, architect, lead engineer, and QA for this product. You ask for resources or help when you need them; you don't wait to be told what to do.
Comfort directing AI coding agents to high-quality output.
Nice to have:
Prior work on runtime-protection products, application firewalls, or instrumentation tooling.
Background in malware analysis or incident response.
Familiarity with managed-hosting environments.
Public security research, vulnerability disclosures, or detection rulesets you've authored.
Familiarity with the Node.js runtime and the JavaScript ecosystem.
What it's not
Not a scope-and-handoff role — you drive the work and own the outcome.
Not a "platform team will productize this later" role — you ship to real customer fleets and watch the telemetry quickly.
Not a spec-and-review role — you are hands-on every day.
Why this matters
Most managed-hosting customers are not developers. They cannot patch their apps. They cannot audit their dependencies. They will keep deploying vulnerable code from AI assistants because that's how modern web apps get built now. The textbook advice — "secure your code, audit your dependencies" — does not apply to them.
If we don't intercept exploits at runtime, nobody will. The numbers you hit on detection, performance, and false positives will materially affect how much of the modern web stays online when the next exploit class drops.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: Canada
What The Role Is
As a
Senior Engineer
at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person.
We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain.
What You'll Own
A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong.
What you do depends on what the team needs:
Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built.
Harden a critical path, kill a class of incidents or design the abstraction your team builds on.
Be the reviewer people want on the risky changes.
Manage up with crisp choices: raise the risks early and protect the right tradeoffs.
Share what you're learning about AI openly, so the whole team gets sharper.
A few problems people at this level are working on right now:
Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps.
Building the evals system that catches our AI support agent making things up before a customer does.
Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it.
Who You Are
You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture.
The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature.
Compensation
We post real numbers. For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP 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 RRSP 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: Canada
What The Role Is
As a
Staff Engineer
at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families.
You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next.
What You'll Own
A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build.
In practice, you:
Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers.
Build the platform or tooling other teams adopt by choice, and own it as it scales.
Make the architecture calls that span teams and the ones that are expensive to reverse.
Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships.
Partner with product, design and data as a peer, shaping what's worth building from the start.
Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones.
A few problems people at this level are working on right now:
Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it.
Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt.
Building Early Investor, our new family finance product, from scratch, on a deadline that can't move.
Who You Are
You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other.
A few things that tend to be true of people who thrive here:
You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on.
You're curious: you spot problems before they're filed and push your own ideas until they ship.
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 an RRSP 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 RRSP 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
We are seeking an experienced technical product manager to design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite of products. Veeva Quality Cloud accelerates the manufacturing of high-quality products to a greater number of patients. The cloud platform unifies applications, processes and partners across content management, training, Quality Management System (QMS) and QC lab solutions (LIMS). In this role, you will be an expert in the use of AI to design and build AI agents that analyze document content and intelligently extract the information to map & store them as structured data within the Veeva Quality Cloud data model (i.e. ‘Docs to Data’).
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.
We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must!
Responsibilities:
Design, build, and maintain scalable features and infrastructure for AI-powered development tools
Engage directly with developers inside and outside Anthropic to gather insights and improve user experience
Collaborate with researchers to improve model capabilities through shared tools and evals
Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones
Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance
Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments.
You may be a good fit if you:
Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity
Spend a lot of time refining and customizing your AI workflows
Have experience building and maintaining dev tools
Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture
Specialize in user experience engineering but are a capable full stack developer
Have hands-on experience working with large language models and prompt engineering
Have worked on projects with stringent safety, security and/or compliance requirements
Care about the societal impacts and ethics of your work
Have 6+ years of work experience
Strong candidates may also have experience with:
Building and maintaining CLI tools
Working in large codebases and quickly jumping in to unfamiliar development environments
Working with container orchestration and cloud infrastructure
Scaling TypeScript projects
Working with alternate JavaScript runtimes like Bun and Deno
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Millions of people use Notion every day, and we’re growing quickly. The Infrastructure Security team’s mission is to build a secure-by-default foundation across Notion’s technical stacks—architecting systems that make the secure path the easy path. As an IC4 on this team, you’ll own meaningful infrastructure security problems end-to-end: from identifying risk, to designing pragmatic controls, to shipping secure defaults that scale across engineering.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Proactively enhance the security posture of our AWS accounts and cloud infrastructure.
- Create secure frameworks for secrets management and authentication/authorization.
- Design and deploy robust Identity and Access Management (IAM) solutions.
- Provide guidance and education on security and privacy best practices to cross-functional partners.
- Participate in (and help drive) mitigation strategies during security-related incident response.
SKILLS YOU'LL NEED TO BRING:
- Security architecture and expertise: you’ve built and maintained systems to secure cloud architectures, ranging from secrets management to Identity and Access Management solutions.
- Backend/infrastructure development: you’ve written and shipped production-grade code, and can contribute to the codebase and architecture to raise the bar on secure systems design.
- Working in production: you can debug systems in production and continuously improve components with minimal disruption.
- Pragmatic, risk-based prioritization: you model threats, balance trade-offs, and focus security investments where they drive the most business impact.
- Empathetic communication: you communicate nuanced ideas clearly in writing and in real time; in disagreements, you engage thoughtfully and look for the right compromise.
NICE TO HAVES:
- AWS security best practices, zero trust architectures, and/or deep IAM expertise.
- Data security or privacy engineering experience.
- Experience applying AI tooling to defensive security workflows.
- Participation in security communities (local or regional groups, conferences).
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $230,000 - $280,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Ontario, Canada; Toronto, Ontario, Canada
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Senior Full Stack Engineer
to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis
Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions
Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team
Own testing strategy across frontend and backend code you ship
Design and consume REST and WebSocket APIs with solid networking fundamentals
Maintain the security and compliance standards required by our government and enterprise clients
Contribute to Mattermost's open-source codebase
What We Are Looking For
Required:
Strong full-stack development experience in Go and React, or a comparable stack
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Bias toward shipping and owning complex software end-to-end without close supervision
Nice to Have:
Experience with distributed systems or high-availability service architecture
Familiarity with enterprise or regulated-environment security requirements
Background in defense, intelligence, or critical infrastructure products
Open-source contributions
Experience working on distributed or remote-first teams
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: CAD $162,591–$195,000
Canada Eligibility & Compliance
Candidates must be legally authorized to work in Canada without current or future sponsorship.
This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered.
Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As a Workday Integrations Developer, you'll build and integrate Vercel-powered People tools and own our core Workday integrations, replacing legacy busywork with a modern, headless HR tech stack. You'll partner with People, Finance, IT, and Engineering stakeholders, building real functional fluency in People Operations so you understand not just how data moves between systems, but why it needs to move that way. This is a hybrid role based in San Francisco, New York City, or Austin, with three days a week in the office.
What you'll do
Build, maintain, and troubleshoot Workday integrations (EIB, Core Connectors/Cloud Connect, Workday Studio, APIs) that support key People Operations and Finance workflows
Build and integrate Vercel-powered internal People tools as part of a push toward a headless HR tech stack
Partner with People Operations, Finance, IT, and Engineering stakeholders to translate process requirements into reliable, well-documented integration solutions
Develop working knowledge of core People Operations processes, including hire-to-retire, compensation, benefits, and org management, to inform integration and system design decisions
Monitor integration health, troubleshoot failures, and maintain documentation of integration logic and field mappings, and contribute to testing, security, and change-management practices as the system scales
What you need
4+ years of hands-on experience building and maintaining Workday integrations using EIB, Core Connectors/Cloud Connect, Workday Studio, and/or APIs
Working knowledge of XML/XSLT, calculated fields, and the Workday Business Process Framework
Experience with generative AI and agentic coding platforms
Comfortable owning discrete integration projects independently, with guidance from senior team members on complex or ambiguous problems
Bonus if you
Have exposure to Workday security configuration
Have experience using Workday Extend to build applications
Have contributed to internal tools or platform engineering work beyond a core HRIS
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $160,000 - $195,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
ГибридSan Francisco, California; New York, New York
seniorUnited States - Remote; Must be located in the Central region of the US
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоleadUnited States; Ireland; Spain; Europe; Germany; Belgium; Switzerland; Denmark; Portugal; Poland; United Kingdom; Netherlands; France
УдалённоRemote, United Kingdom
ГибридCAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West); This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California; We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington