Location: Remote, New York, United States, AMER
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.
About Us
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
We’re looking for a Principal Partner Solutions Architect (GSI) to be Fivetran + dbt Labs' global technical advisor to our priority Global Systems Integrators (GSIs) — comfortable operating at executive level, leading the conversation, and directing execution of the joint business plan by combining technical depth with business insight. You are the ecosystem peer to the GSI's lead architects and delivery leads. You will own the technical capability, overarching solution architecture, and multi-year bets of the GSI partnership you support.
This role partners closely with the global alliance leads for these GSIs to articulate the true total value of each technical solution and execute impactful engagements across regions and countries. Functionally, the role sits at the intersection of field engineering, product management, and partnerships. Your closest counterparts are the GSI's practice and delivery leadership, the regional Partner Solutions Architects and Partnerships teams who run the day-to-day motion, and product managers across both Fivetran and dbt Labs. Operating at the Principal level, you will report directly to the Global Head of Partner Solutions Architecture.
This is a full-time position based in the US.
What You’ll Do
Build a trusted advisory relationship with priority GSIs and engage with their senior technical stakeholders and practice leads to secure multi-year technology bets with Fivetran and dbt Labs.
Own the joint technical narrative and capability messaging for the combined Fivetran + dbt Labs platform as it applies to this GSI's delivery practice — reference architectures, integration patterns, and the joint value story their consultants use with mutual customers.
Provide domain expertise around modern data platforms and enterprise technology, and effectively promote Fivetran + dbt Labs with partners, at conferences, and online.
Make recommendations on integration strategies, partner-side enterprise architectures, platforms, and application infrastructure required to successfully implement complete solutions for complex GSI mega-agreements.
Maintain a single, current view of integration state, gaps, and opportunities across the combined platform (ingestion, transformation, semantic layer, catalog/metadata, agent and MCP interfaces) as it affects this GSI's delivery methodology, and collaborate with Product to drive the right outcomes.
Co-develop intellectual property with GSI partners — enterprise-grade, replicable joint solutions and accelerators built with product management and technical teams — and evangelize that IP with partners, customers, and the field to drive adoption.
Run the standing technical cadence with the GSI's practice and delivery leadership as their primary technical counterpart.
Drive and influence GSI audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on GSI-led mega-agreements.
Partner with the regional Partner Solutions Architects and Partnerships organization so the global GSI relationship turns into regional execution, and so they can run the motion without you in the room.
Travel to partner and customer sites, conferences, and other related events as needed.
Skills We’re Looking For
Direct experience with technology and/or systems integrator alliances, or having sat on the delivery/practice side of a GSI or similar consulting organization — with a track record of shaping and scalingtechnical partner GTM.
10+ years of experience as an enterprise/solutions architect or in an equivalent customer- and partner-facing role.
Fluency across the modern data stack (ingestion, transformation, orchestration, warehouses/lakehouses, semantic layers, catalogs, BI, and the agent/MCP layer) and the ability to explain how the pieces fit for a systems integrator's delivery practice.
A demonstrable understanding of how GSIs operate, build, deploy and monetise Intellectual Property with technology partners.
Experience engaging with, and presenting to, senior technical stakeholders and executive leaders, with the business acumen to translate technical solutions into partner and customer value.
Experience with modern AI paradigms, generative AI, and data technologies, including experience evaluating and reviewing technical solutions.
Ability to drive and influence GSI audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on GSI-led mega-agreements.
Ability to deliver results and work cross-functionally to position and orchestrate joint solutions spanning multiple products
Bonus Skills
Verticalized knowledge of data and analytics technology solutions, with the ability to learn and work with new and emerging tools, methodologies, and platforms.
Experience with structured enterprise architecture practices, hybrid deployments, and on-premise-to-cloud migration roadmaps.
Ability to influence product roadmap: gathering requirements from a partner, building a prioritization case, and getting it accepted by product leadership.
Hands-on experience with dbt and with Fivetran.
Compensation & Benefits
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. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. 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.
OTE (On Target Earning)
$239,446.04
—
$332,562.90 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
Workplace: Hybrid
Role Summary
We’re seeking an IT Systems Engineer to join our growing IT team. You’ll own the architecture and automation behind the systems our employees rely on every day: identity, device management, endpoint security, and the tooling that ties them together. You’ll work closely with IT, Security, Engineering, and People teams to design, build, and scale the platforms that keep a fast-growing company productive and secure. You’ll also be the onsite IT presence in San Francisco, supporting our executive team and running the technology in our new office. You’ll be expected to set technical direction within your domain, lead multi-team initiatives, and make sound decisions without close supervision.
This role is based in San Francisco, with regular onsite presence at our new San Francisco office, which you’ll manage day to day.
What You’ll Do
- Own and deploy the architecture, reliability, and roadmap for core IT platforms (identity and access, device management, endpoint security, or IT automation)
- Design and build automation and internal tooling that eliminates manual work: onboarding and offboarding workflows, access lifecycle management, device enrollment and posture enforcement, and self-service for employees. Use AI and LLM-based tools (such as AI agents and MCP integrations) where they make IT work faster, more consistent, and more reliable
- Lead multi-team technical initiatives end to end, from architecture and design docs through rollout and communication, partnering with Security, Engineering, and People teams
- Set technical standards and patterns for the IT team, and write clear design documentation and runbooks others can build on
- Evaluate tools and vendors, weigh build-vs-buy tradeoffs, and make recommendations to IT leadership with clear reasoning on cost, risk, and scale
- Partner with Security to implement and maintain the technical controls behind our security and compliance requirements
- Serve as the technical escalation point for the hardest problems, and apply lessons from incidents to fix root causes rather than symptoms
- Mentor IT Support Specialists and raise the team’s technical bar
- Own technology for our San Francisco office end to end, including network and internet connectivity, Wi-Fi, A/V, and equipment, and coordinate with ISPs and vendors
- Design, deploy, and support network-connected video conferencing and meeting room systems (for example Zoom Rooms, Neat, and Cisco Meraki networking), and make sure every meeting space works reliably for in-person and remote participants
- Provide white-glove support to executives: proactive and responsive with a high bar for reliability before and during important meetings and events
- Occasional travel to company events and other Temporal locations
What You’ll Bring
- 8+ years of experience in IT, systems engineering, or a similar role, with a track record of owning platforms rather than only operating them
- Deep expertise in at least one of: identity and access management (Okta, Entra ID), device management (MDM for macOS and Windows), or endpoint security and zero trust tooling
- Strong scripting and automation skills (for example Python, TypeScript, Bash, or PowerShell), including working with APIs and integrating SaaS systems, and hands-on experience using AI coding assistants and LLM-based tools to build and ship automation faster
- Experience leading cross-functional projects to completion, including scoping, stakeholder alignment, and rollout
- Ability to communicate technical tradeoffs clearly to both technical and non-technical audiences, including executives
- Hands-on experience with enterprise networking (switching, Wi-Fi, firewalls, ISP circuits) and with conference room and video conferencing systems
- Comfort supporting senior executives: polished, discreet, and calm under pressure, with the ability to build trust quickly
- A bias to action and a history of self-education
Nice to Have
- Experience with identity governance and access lifecycle automation (for example Okta Identity Governance, group rules, access certifications)
- Experience with zero trust networking (for example Cloudflare Zero Trust) and endpoint detection and response tooling
- Infrastructure-as-code experience (for example Terraform) applied to IT systems
- Experience building AI-powered workflows or agents for IT operations (for example MCP servers, or LLM-driven ticket triage and onboarding automation)
- Experience supporting security and compliance programs from the IT side
- Experience at a fast-growing, remote-first company, or one that serves developers
- Experience standing up or opening a new office, including vendor and circuit coordination
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
Ondo Finance is looking for a Senior Product Designer to own, hands-on, the design systems behind everything we ship. You'll own two outright, institutional and consumer, and support the marketing team's system so brand and design-to-code stay tight. Our products move real money, so precision and accessibility are the floor, not the ceiling: we want institutional and consumer users alike to feel the craft, which makes visual expression and motion core to the system. You'll join a small, senior team that runs on high ownership and low ego, and this is a building role: you'll be in Figma and alongside engineers every day, shipping the components and tokens yourself while setting the direction for the systems you own.
Target Outcomes
Both design systems, institutional and consumer, fully adopted across their web and mobile products, with measurable coverage (share of screens built from system components) rising quarter over quarter.
Figma libraries and the front-end component library in parity: tokens, variants, and states match one-to-one, with drift caught and resolved as part of normal release cadence.
Every system component meets WCAG AA, with accessibility criteria documented and verified before release, and the systems carry a visual and motion language that users notice and teams can reuse.
Product teams ship faster: fewer one-off components, shorter design-to-build cycles, and a clear contribution path that teams actually use.
Documentation and governance that scale beyond the design team: engineers, PMs, and AI agents can build correctly from the system without a designer in the loop.
Responsibilities
Own two design systems end to end, institutional and consumer: components, design tokens, theming, patterns, and the Figma libraries behind them, across web and mobile. Support the marketing team's design system as needed so brand practice stays consistent and design-to-code stays smooth.
Define the expressive layer of both systems: visual language, motion principles, and the interaction details that make institutional and consumer products feel considered and alive, not merely correct.
Design and ship the full stack of the system, from primitives and atoms through molecules and organisms to page templates, with polished interaction details and the visual hierarchy, typography, and layout rigor that trading and financial interfaces demand.
Partner closely with UI engineers so that tokens and components map cleanly to the production component library, and so Figma and code stay in sync.
Define how the system works on mobile: platform-appropriate interactions, responsive and adaptive behavior, and parity rules between web and native surfaces.
Hold the system to WCAG 2.2 AA: color contrast, focus and keyboard behavior, motion, and screen-reader semantics baked into components rather than bolted on.
Write clear, usable documentation (usage guidelines, do/don't examples, contribution guides) that designers, engineers, and AI agents can all work from.
Run governance across teams: contribution and review process, versioning and deprecation, adoption tracking, and the forums where product teams propose and resolve system changes.
Audit the system proactively to find gaps, inconsistencies, and drift across products, then prioritize and drive the fixes without waiting to be asked.
Use AI tooling as part of daily work: agents, markdown guideline files, and MCP integrations that connect the design system to design and engineering workflows.
Requirements
6+ years in product design, including 3+ years focused on design systems.
Experience building and scaling a shared design system across multiple products and platforms, web and mobile, including mobile-specific design systems and interactions.
Strong UI craft: visual hierarchy, typography, layout, and polished interaction details, with a point of view on motion and visual expression and the taste to know when restraint is the right call.
Builds scalable components and design tokens, including theming (for example light/dark modes or multi-brand).
A strong understanding of how components and tokens translate into front-end libraries: how components are built, composed, and consumed in code (for example React, React Native, or Swift/Kotlin component libraries), and how tokens flow from Figma into code.
Advanced Figma skills: variables and modes, auto layout, component properties, and library management at scale.
A track record of working closely with engineers as a day-to-day partner, not a handoff.
Strong accessibility knowledge and experience shipping WCAG AA compliant components.
Writes clear documentation and has run governance across teams: contribution models, review processes, and adoption.
Fluency with AI tooling in a design or engineering workflow: using agents, writing markdown guideline files, and working with MCP integrations.
Experience with design-to-code tooling such as Code Connect, token pipelines, or Storybook.
A systems thinker with sharp attention to detail who sees both the pattern and the pixel.
A portfolio that showcases design systems work: components, tokens, documentation, and the reasoning behind the decisions.
Nice to Have
Experience with crypto, onchain or tokenized-asset products.
Experience in fintech, exchanges, or trading platforms. Design systems for trading surfaces have their own nuances: dense data tables, real-time state changes, numeric typography, and color semantics for gains, losses, and risk.
Familiarity with crypto and digital-asset products, or with tokenized assets and markets.
Experience setting up motion and interaction standards within a system.
Working proficiency in Mandarin Chinese.
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
• Linux & Ansible: настройка серверов, автоматизация конфигураций и решение инфраструктурных проблем; • Kubernetes: работа с deployments, конфигурациями и диагностика pods/services;
ОфисИспания; #вакансия #vacancy #Linux #SystemAdministration #AI #релокация #relocate; Релокация в Испанию - полная поддержка переезда для вас, семьи и питомцев, помощь с документами и адаптацией
-Проектирование и разработка LLM-сервисов и API (REST/gRPC) для интеграции с внешними системами. -Создание и оптимизация RAG-пайплайнов и систем гибридного поиска для повышения качества и точности ответов.
Опыт КР от 4 лет, из них от 2 лет на Go (HTTP/gRPC API, конкурентность, тестирование). От 6 месяцев ежедневной работы с AI-агентами для разработки (Claude Code, Cursor, Codex или аналоги).
Location: Poland - Remote
Location:
Poland – Remote
Employment Type:
Full-time, B2B Contract
Compensation:
PLN 12,000–22,000 net + VAT per month (B2B)
About PubNub
PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users.
Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users.
At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work.
About Blocks.ai
Blocks.ai is a new initiative being built by PubNub, focused on connecting AI agents with the people, applications, and other agents that need to reach them.
The team combines early-stage product ownership and experimentation with PubNub's infrastructure and engineering expertise. This role is part of PubNub and is dedicated to Blocks Network.
About the Role
We're looking for a technically hands-on
Developer Advocate
to help developers discover, build with, and successfully adopt Blocks.ai.
You'll work at the intersection of engineering, developer education, community engagement, and product feedback. From building AI agents and sample applications to creating tutorials, engaging with technical communities, and supporting developer adoption, you'll play an important role in growing the Blocks.ai ecosystem.
You'll collaborate closely with Product, Engineering, and Growth to make the platform more accessible and useful for developers and enterprise technical teams.
Success in this role means enabling more developers to build and connect working AI agents, increasing engagement with the platform, and turning developer feedback into practical improvements.
Key Responsibilities
Build working AI agents, demos, sample applications, and reusable templates that demonstrate real-world Blocks.ai use cases.
Create technical tutorials, articles, videos, workshops, and developer education materials.
Engage with developers through GitHub, Discord, technical forums, community events, and hackathons.
Help developers troubleshoot integrations and successfully connect agents, applications, and services.
Identify onboarding friction and provide actionable feedback to Product and Engineering, including reproduction steps and improvement recommendations.
Collaborate on documentation, SDKs, APIs, and developer tooling improvements.
Support technical workshops, demos, and developer discussions with prospective enterprise customers.
Track developer engagement, successful integrations, active agents, and ecosystem adoption.
About You
Minimum Requirements
Experience in Developer Relations, Developer Advocacy, Software Engineering, or a similar developer-facing technical role.
Strong hands-on programming experience in Python, TypeScript, or another relevant language.
Practical experience building AI agents, LLM-powered applications, or integrations using APIs and frameworks.
Experience creating technical content, developer demos, workshops, or sample applications.
Ability to explain complex technical concepts clearly to developers with different experience levels.
Strong problem-solving skills and a developer-first mindset.
Experience collaborating with Engineering and Product teams to improve developer experiences.
Strong English communication and presentation skills.
Nice to Have
Familiarity with MCP, agent-to-agent communication, or multi-agent architectures.
Experience with emerging AI-agent frameworks and tools.
Contributions to open-source projects or developer communities.
Experience supporting technical evaluations, integrations, or enterprise developer adoption.
Why PubNub
At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology.
We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact.
With Blocks.ai, you'll also have the opportunity to help shape an emerging AI-agent platform, influence developer experience, and build a technical community from an early stage.
Ready to Make an Impact?
If you're passionate about AI agents, love building technical solutions, and enjoy helping developers succeed, we'd love to hear from you.
Join us and help grow the developer ecosystem around Blocks.ai.
Information Accuracy
Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.
Location: Poland - Remote
Location:
Poland – Remote
Employment Type:
Full-time, B2B Contract
Compensation:
PLN 12,000–18,000 net + VAT per month (B2B)
About PubNub
PubNub powers real-time interactive experiences that drive engagement, retention, and monetization. Our market-leading platform for real-time interactive apps enables customers to efficiently and effectively build, manage, and optimize engaging apps that captivate and delight users.
Founded in 2012, PubNub is backed by notable investors like The Raine Group, Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. To date, over 2,000 companies worldwide, including Amazon, RingCentral, Gameloft, and DAZN, choose PubNub to build and enhance large-scale apps that launch quickly to engage, monetize, and retain users.
At PubNub, you’ll enjoy the freedom of a remote-first environment paired with a collaborative culture designed to support your unique work style, so you can do your best work.
About the Role
We're looking for a
Developer Onboarding & Activation Marketing Manager
to improve how developers discover value in PubNub, from signing up and creating their first application to becoming active, paying customers.
This is a hands-on, data-driven role focused on developer activation, product-led growth, and self-service conversion. You'll work closely with Product, Engineering, Growth, and Lifecycle Marketing to identify friction points, improve onboarding experiences, and run experiments that help developers succeed faster.
Success means reducing time-to-value, improving activation and retention, and increasing the number of developers who progress from experimentation to meaningful product usage and paid adoption.
Key Responsibilities
Own and optimise the developer onboarding journey, from signup and first API key through first successful integration and paid conversion.
Analyse developer journeys, conversion funnels, user behaviour, and drop-off points to identify opportunities for improvement.
Design, prioritise, and run experiments to improve onboarding completion, activation, and conversion rates.
Partner with Product and Engineering to improve quickstarts, documentation journeys, sample applications, and first-use experiences.
Develop onboarding campaigns, lifecycle communications, and contextual guidance that help developers reach their next milestone.
Explore AI-assisted onboarding experiences that make it easier for developers using tools such as Cursor and Claude Code to build with PubNub.
Improve self-service journeys related to product usage, pricing discovery, and conversion to paid plans.
Establish and track key metrics, including time-to-first-value, activation, developer engagement, and first-time paying customers.
About You
Minimum Requirements
Experience in product-led growth, developer activation, lifecycle marketing, growth marketing, or a closely related role.
Demonstrated experience improving onboarding, activation, or self-service conversion for a SaaS or developer-focused product.
Strong analytical skills, including funnel analysis, user segmentation, experimentation, and performance measurement.
Experience using product analytics and A/B testing to guide decisions.
Technical fluency and the ability to understand developer workflows, APIs, and integrations.
Experience partnering with Product and Engineering to turn insights into practical product or onboarding improvements.
Strong English communication skills and comfort working across distributed teams.
Nice to Have
Experience with API-first or developer infrastructure products.
Familiarity with usage-based pricing and self-service monetisation.
Experience with product analytics and experimentation tools.
Knowledge of AI coding assistants, MCP, or AI-supported developer workflows.
Why PubNub
At PubNub, you'll help power real-time experiences used by millions around the world. What sets us apart is our people-first culture and strong sense of collaboration. Our team values the opportunity to contribute meaningfully, grow their skills, and help build innovative, high-impact technology.
We offer competitive B2B compensation and the flexibility of a remote-first environment. We're committed to fostering collaboration, professional growth, and opportunities to make a meaningful impact.
Ready to Make an Impact?
If you're excited about simplifying the developer journey, running meaningful experiments, and helping more developers build successful applications, we'd love to hear from you.
Join us and help shape the next generation of developer onboarding at PubNub.
Information Accuracy
Candidates are expected to provide accurate, complete, and truthful information throughout the application and hiring process. Any material misrepresentation or omission may affect employment eligibility.
RESPONSIBILITIES: Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners. Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted.
Location: New York, Chicago, or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:
Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation.
Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load.
Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike.
Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data.
Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area.
Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges.
Take part in a shared on-call rotation for the systems you own.
Requirements:
6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production.
Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#.
Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail.
Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work.
Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why.
Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to.
Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them.
Even Better if You Have:
React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences.
Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation.
Performance work below the application layer: profiling, memory, and concurrency tuning.
Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
Exposure to the insurance, claims, or automotive repair domains.
What Success Looks Like:
In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew.
You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer.
You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production.
You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where.
Standards you set for reliability, reviews, and design documents outlive the project they started on.
Engineers you mentor ship reliable services without your direct involvement.
You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it.
You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Location: Canada
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Bengaluru, India
We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions.
You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health.
You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used.
This position is intended for Hyderabad-based candidates who are available to work from the office.
The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected.
Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting.
Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting.
Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use.
Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance.
Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior.
Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data.
Use logical and physical data models and data contracts to assess downstream impact and set quality coverage.
Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub.
Trigger pipeline runs in Airflow and read task results into the quality verdict.
Investigate quality issues and support remediation with the groups that produce and consume the data.
Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests.
Run read-only checks in pre-production and production.
Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool.
Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state.
Check classification, masking, and retention against the stated data rules.
Track defects to closure in Jira and keep test cases and results in TestRail.
Provide quality evidence, risks, and readiness input for releases.
Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used.
Senior-level data quality engineering experience in ETL testing and data validation.
Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior.
Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes.
Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication.
Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework.
Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler.
Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets.
Experience diagnosing data quality issues and supporting remediation.
Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools.
Experience with test management and defect tracking in TestRail and Jira.
Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms.
Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives.
Working knowledge of data classification, masking, and retention checks.
Experience producing data quality metrics, reports, and dashboards.
Experience with risk-based testing in Agile or Kanban teams.
Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output.
Ability to communicate clearly with engineering and business stakeholders.
Experience providing quality evidence, risks, and readiness input for releases.
Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load.
Experience with custom cross-table data quality checks that publish results for dashboarding.
Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks.
Familiarity with RAG and MCP concepts for QE tooling and for generating test data.
Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent).
Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable.
Experience specifying and reviewing dbt tests. Developers author those tests.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it.
As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render.
This is a remote role within the US, with the option to work out of our headquarters in San Francisco.
WHAT YOU'LL DO
- Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows.
- Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run.
- Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand.
- Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it.
- Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on.
- Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs.
- Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics.
- Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work.
WHAT WE'RE LOOKING FOR
- 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company.
- Experience setting technical direction and raising the bar for a team.
- Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end.
- Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs.
- Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems.
- Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them.
- Excellent technical writing. You know what world-class developer content looks like.
- A track record of owning projects end to end with little direction.
- Strong intuition for developer tools and a love of well-crafted user experiences.
NICE-TO-HAVES
- You've used Render before, professionally or on side projects.
- Experience with AEO or SEO, or with measuring how content performs in LLM answers.
- A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog.
- Experience presenting workshops and technical talks.
SOME PROJECTS YOU MIGHT WORK ON
- A video series on building and deploying an MCP server on Render.
- A sample app for an upcoming launch, built with Product and Engineering ahead of release.
- An agent skill that turns a tutorial into a tested, deployable template.
- Tracing why coding agents fail on a specific docs page, then shipping the fix.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, Texas
About the role
Our centralized Developer Go-to-Market (GTM) organization functions as a "speedboat" to maintain focus, control direction, and iterate quickly. Our mission is to build long-term relationships with developers by addressing their unique needs and challenges with specialized attention and resources across Marketing, Developer Relations, Growth Programs, and Sales.
Within Developer GTM, the Revenue Engineering team exists to build and evolve GTM infrastructure to support Cloudflare’s transition into a major cloud provider and drive Cloudflare’s AI transformation. We operate across data platform development, application platforms, core pipeline evolution, and novel internal product delivery enabling teams across the organization to move fast without accumulating unmaintainable technical debt.
What You'll Do
As a hands-on "player-coach" Engineering Manager on the Revenue Engineering team, you will balance technical leadership with direct execution, actively writing code, building pipelines, prototyping novel GTM applications, and debugging alongside your team. You will lead, coach, and grow a team of high-performing software and data engineers building mission-critical GTM software, data platforms, and internal developer tools on top of Cloudflare's own developer platform (Workers, Kubernetes, Go, TypeScript, SQL, and MCP). You will take ownership of our core platform strategy, balancing fast-paced feature delivery with platform maintainability, data integrity, and operational excellence.
In this role, you will:
Lead and Grow Engineering Talent (Player-Coach Model):
Recruit, mentor, and develop a diverse team of talented software and data engineers while leading by example through active code contributions, hands-on technical guidance, and unblocking engineers directly in the codebase.
Architect & Build Platform Primitives:
Set the technical vision and actively write code for our GTM Data Platform, App Platform, and Model Context Protocol (MCP) integrations in Go and TypeScript, enabling internal teams to build and scale maintainable solutions.
Prototype & Deliver High-Impact Applications:
Directly build and prototype novel GTM applications (Signals, Customer Health, Cost Explorer), evolve core pipelines (Salesforce enrichment, customer contact ingestion, real-time consumption billing visibility), and implement data infrastructure migrations.
Empower & Advise Business Builders:
Act as a technical advisor and partner to non-technical teams, teaching them to self-serve using supported platform primitives rather than creating isolated, unmaintainable silos.
Drive Operational & Engineering Excellence:
Establish best practices for service observability, testing, schema evolution, and deployment while mitigating bus-factor risks and single points of failure across legacy and new systems.
Cross-Functional Collaboration:
Partner closely with leaders across Sales, Marketing, Developer Relations, BI, Security, and Product to align on business priorities, unblock dependencies, and turn complex business challenges into reliable software solutions.
Examples of Desirable Skills, Knowledge, and Experience
Hands-on Experience:
Minimum 8 years of relevant software engineering experience, including at least 3 years in a formal engineering management or technical leadership role with a strong track record of remaining hands-on in the code.
Technical Depth & Contribution:
Strong background writing production code and debugging distributed systems, data pipelines, and web APIs across Go, TypeScript, Workers, Kubernetes, SQL, and MCP.
Leadership & Team Building:
Proven track record of recruiting, coaching, and developing senior technical talent while fostering an inclusive, high-trust engineering culture.
Platform & Systems Ownership:
Experience owning end-to-end service lifecycles, operational monitoring, incident management, and architectural strategy for complex internal or external platforms.
Pragmatic Business Execution:
Ability to navigate ambiguous problem spaces, balance rapid prototyping ("learning mode") with scalable platform architecture ("scale mode"), and translate business needs into robust technical roadmaps.
Cross-Functional Communication:
Exceptional collaboration skills with a track record of partnering effectively with non-technical business partners, GTM stakeholders, and executive leadership.
Bonus Points
Cloudflare Developer Platform:
Experience building on or integrating with Cloudflare Workers, edge computing platforms, or serverless architectures.
GTM & Growth Systems:
Background in SaaS, Product-Led Growth (PLG) motions, sales analytics, or working with CRM/marketing automation integrations (Salesforce, Marketo).
Applied AI & MCP:
Hands-on experience developing Model Context Protocol (MCP) servers, LLM/AI integrations, or AI-driven developer workflow automation.
Data Platform Scale:
Experience with modern columnar databases / lakehouses (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg) or analytics engineering workflows.
Compensation
Compensation may be adjusted depending on work location.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: New York City, New York, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are looking for a Senior Full Stack Engineer to build how developers and AI agents access our agentic web infrastructure. This role is based in our New York office, hybrid with the NYC team.
Our APIs are used by millions of developers and the AI agents acting on their behalf. The team owns the main API gateway, the customer platform (keys, usage, teams), identity and enterprise
SSO
, and the public interfaces to our product: the SDKs, CLI,
MCP
servers and other tools developers and agents use. You'll work closely with product, design and engineers across our R&D.
In this position, your responsibility will be to:
Design and ship features end to end, from the interface to the services and data behind it
Build and improve the API gateway: high traffic, low latency, reliable
Turn usage, billing and team data into fast, usable interfaces: tables, charts, filters and forms
Shape the self-serve journey from signup through activation
Build and operate identity and team access in production: OAuth and
OIDC
, role-based access,
SAML
SSO
and
SCIM
, on providers such as Auth0, Okta, WorkOS or Clerk
Control who gets which features, with feature flags for staged rollouts and entitlements after rollout
Improve the public interfaces developers and agents use: the SDKs, CLI,
MCP
servers and docs
You may be a good fit if you:
Have 5+ years of full-stack engineering on customer-facing products or high-throughput APIs, in any mix of frontend and backend
Are strong in backend engineering, ideally in Python. Go, C++ or C with some Python experience also fits
Have built and operated latency-sensitive, high-
QPS
APIs: caching, async work, queues, retries and rate limiting, including long-running jobs and webhooks
Have shipped production UI with a modern frontend framework such as React, Next.js or TanStack, ideally in TypeScript
Have built data-heavy interfaces such as tables, charts and filters that stay fast
Are effective in a mature, user-facing system: you have joined a complex codebase, ramped up fast, shipped safely under real traffic, and been on-call for it
Have strong product and design sense, for interfaces and for APIs
See your work through from design to production, explain trade-offs clearly to partners, navigate ambiguity, and use AI tools in how you build
Strong candidates may also:
Have led a project or mentored others
Have taken a product from 0 to launch
Have built API-key issuance and lifecycle
Have built
MCP
servers or tools for AI agents
Have worked on billing or usage metering with Stripe, Metronome, Orb or similar
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$147,200
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York City Metropolitan Area; Brooklyn, New York; Manhattan, New York; New York, New York; New Jersey; San Francisco Bay Area, California
Workplace: hybrid
About us
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous. You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What we look for:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What we offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
*No Visa sponsorship
We’re real
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
Soft skills interview.
Offer discussion.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we are looking for candidates from the U.S.
The Opportunity
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You'll Be Doing
Agentic Systems & AI Infrastructure
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Enablement
Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit
8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA
In the United States, the base compensation range for this role is USD
$154,445
- USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
ГибридSan Francisco, California; This role is based in San Francisco, with regular onsite presence at our new San Francisco office, which you’ll manage day to day
seniorCanada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
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.
ГибридseniorNew York City Metropolitan Area; Brooklyn, New York; Manhattan, New York; New York, New York; New Jersey; San Francisco Bay Area, California
United States (Remote); This is a remote opportunity and we are looking for candidates from the U.S
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