Location: New York HQ
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As a Field Engineer on the Pre-Sales team, you'll be the technical builder behind how we win and enable deals. You'll own two things: the integration work that proves technical feasibility to prospects and partners during the sales cycle, and the demo tooling that lets the entire go-to-market team tell a credible, product-accurate story.
You'll work at the intersection of Sales, Partnerships, Product, Engineering, and AI, partnering with Account Executives and the Partnerships team as their technical counterpart. Unlike our Sales Engineers, who lead the customer-facing technical narrative, this role goes a layer deeper on the build: you're the person who can actually stand up a working integration against an unfamiliar API and turn it into a repeatable demo asset. This is a pre-sales role: you won't carry a closing quota, but your work directly determines whether technical buyers and integration partners trust that Avoca does what we say it does.
WHAT YOU’LL DO
- Own technical scoping and feasibility for pre-sales opportunities and partner integrations; turning ambiguous requirements from prospects, partners, and AEs into concrete, working implementation plans.
- Build working integrations against third-party APIs, CRMs, field service management (FSM) platforms, telephony systems, and partner ecosystems, writing real code, handling REST APIs, JSON, authentication, and webhooks, and getting a credible proof of concept working quickly.
- Build and maintain the demo and sandbox tooling the GTM org relies on: reusable demo environments, representative fixture data, and internal tools, treating one-off deal builds as reusable assets (integration patterns, reference implementations, scripts) rather than throwaway work.
- Configure and tune Avoca's conversational AI for demo and POC scenarios, including prompt engineering to reflect real customer workflows.
- Serve as the technical counterpart to Account Executives and Partnerships in the room with a prospect's or partner's engineering team, establishing credibility from the C-suite to individual developers, and translating those conversations into plans a non-technical AE can run with.
- Troubleshoot and resolve technical issues that surface during evaluations, pilots, and POCs, protecting at-risk deals and partner launches.
- Partner with Product and Engineering to feed recurring integration gaps and field learnings back into the roadmap, and to keep demo environments current as the product evolves.
- Partner with (not replace) Forward Deployed Engineering and Implementation when a build needs to graduate from a working POC to a hardened production deployment: you own the pre-sales build and the demo layer; production delivery is a handoff.
WHAT YOU'LL BRING
- 4+ years in a technical, customer-facing role: Solutions/Sales Engineering, Forward Deployed / Deployment Engineering, Implementation or Integration Engineering, Solutions Consulting, or software engineering with meaningful customer exposure.
- Hands-on ability to build. Proficient in TypeScript/JavaScript (Next.js, React, Node/Fastify); ships production-grade code and independently stand up an integration or demo tool, not just spec one for someone else to build. You don't need to be a production backend engineer, but "can build it yourself" is the bar.
- Practical experience integrating against third-party APIs and enterprise systems: REST, JSON, authentication/OAuth, webhooks, and comfort working from unfamiliar or incomplete API documentation.
- Working SQL and a solid grasp of relational data: enough to model, transform, and wire up realistic data for integrations and demo environments.
- Experience owning something technical end-to-end, from requirements through build, testing, and a working rollout, even if handed off afterward.
- Strong technical judgment and troubleshooting instincts, and the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
- A product mindset toward internal tooling: you treat demo and sandbox infrastructure as a product with users (the GTM team).
- Familiarity with AI-powered products, conversational AI platforms, or data-driven systems. Bonus: prompt engineering, call center / communications platforms, CRM or FSM integrations, or prior Partnerships/channel support experience.
WHO YOU ARE
- Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments.
- A builder who thrives on owning things end-to-end and turning one-off work into something reusable.
- Autonomous, self-directed, and comfortable with ambiguity and incomplete requirements.
- A proactive, effective communicator who's equally credible with a customer's engineers and your own AEs.
- In-office, engaged, and eager to collaborate at our NYC location full-time.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Monthly wellness stipend
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected base salary for this role is $160,000-$200,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: Ukraine
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are seeking an innovative Backend .NET Developer to join our Core Domain for collaborating within Scrum teams. As a Software Developer at Creatio, you will contribute to the core business process platform, delivering scalable and customizable solutions that empower organizations to automate workflows and drive innovation.
Our teams are focused on the using best engineering practices. We provide the AI SDLC for all our engineering teams and have a wide range of AI practices in use.
Responsibilities:
Designing, coding, testing, and debugging software according to specifications and requirements.
Transforming the system design into actual software by writing code and implementing features.
Collaborating with stakeholders and product managers.
Conducting unit tests, integration tests, and system tests.
Participating in scrum team activities.
Requirements:
Confident in C# and .NET 8+.
Strong knowledge of OOP and principles like KISS, SOLID, DRY.
Hands-on experience with ASP.NET MVC/Core, Entity Framework and building Web APIs.
Experience with Git, including branching, merging, and rebasing.
Familiar with unit testing and mocking (NUnit, Mock). and API testing (Postman).
Experience working with databases (MS SQL Server, PostgreSQL).
Experience with AI technologies and solutions is a plus, but not required.
English level — Upper-Intermediate (spoken and business writing) or higher.
What you should expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are seeking an innovative Backend .NET Developer to join our Core Domain for collaborating within Scrum teams. As a Software Developer at Creatio, you will contribute to the core business process platform, delivering scalable and customizable solutions that empower organizations to automate workflows and drive innovation.
Our teams are focused on the using best engineering practices. We provide the AI SDLC for all our engineering teams and have a wide range of AI practices in use.
Responsibilities:
Designing, coding, testing, and debugging software according to specifications and requirements.
Transforming the system design into actual software by writing code and implementing features.
Collaborating with stakeholders and product managers.
Conducting unit tests, integration tests, and system tests.
Participating in scrum team activities.
Requirements:
Confident in C# and .NET 8+.
Strong knowledge of OOP and principles like KISS, SOLID, DRY.
Hands-on experience with ASP.NET MVC/Core, Entity Framework and building Web APIs.
Experience with Git, including branching, merging, and rebasing.
Familiar with unit testing and mocking (NUnit, Mock). and API testing (Postman).
Experience working with databases (MS SQL Server, PostgreSQL).
Experience with AI technologies and solutions is a plus, but not required.
English level — Upper-Intermediate (spoken and business writing) or higher.
What you should expect from us:
Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple.
The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base.
The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend.
In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeling, experimentation, and strategic measurement. You'll collaborate closely with marketing stakeholders to understand business needs and translate them into technical solutions, while also partnering with data engineers and other data scientists on shared infrastructure.
This is a full-stack data science role where you'll wear many hats: algorithm developer, measurement strategist, analyst, experimenter, and business partner. We're looking for someone who can hit the ground running with strong marketing analytics expertise and contribute to strategic direction from day one.
IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO:
- Build data products and algorithms that optimize marketing performance—including budget allocation, targeting strategies, and campaign optimization across multiple channels
- Design and implement measurement strategies for marketing initiatives, including attribution modeling, incrementality analysis, and multi-touch attribution
- Drive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI on marketing spend
- Develop and maintain analytics pipelines and data infrastructure, working collaboratively with data engineers and other data scientists
- Conduct exploratory analysis to identify growth opportunities, understand customer behaviour, and optimize marketing tactics
- Provide business-as-usual analytics support including reporting, dashboards, and ad-hoc analysis for marketing stakeholders
- Leverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems
- Partner with ad platforms (Google, Meta, etc.) and internal engineering teams to ensure robust tracking, data integration, and measurement capabilities
- Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend
- Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)
SKILLS WE ARE LOOKING FOR:
- Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization
- Experience working with lifecycle data, understands various of ways of reaching out to new/existing customers and how they fit together holistically
- Strong technical skills in Python and SQL with experience building production-quality code
- Proven track record in algorithm development, optimization problems, or building data-driven decision systems
- Strong foundation in causal inference, A/B testing, and experimental design
- Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders
- Demonstrated ownership as the data DRI on complex projects end to end, with proactive understanding of business context and how cross-functional teams build systems together
WE ARE LOOKING FOR SOMEONE WHO:
- Can use AI effectively to increase efficiency and depth of the work, while still providing the strategic guidance and critical thinking
- Has full-stack data science experience, comfortable with everything from dashboards and reporting to sophisticated algorithm development
- Can contribute to strategic direction in marketing analytics from day one with minimal ramp-up time
- Thrives in a collaborative, multi-faceted environment with ongoing alignment across stakeholders and data team members
- Is passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality
- Ideally has worked at larger-scale tech companies that develop internal analytics and optimization systems
- Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment
- Values simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice
- Is eager to teach and learn. We value making each other successful!
- Is a lifelong learner who's constantly seeking feedback to continue improving their craft
WHY YOU'LL LOVE THIS ROLE:
- High visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decisions
- Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and algorithm development
- In-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market
- Strategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space
- AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the Role
We are looking for a Head of AI Native Operations to build the autonomous systems that run Supabase.
Supabase is building an AI-native internal operating system, where agents carry the operational load end to end. We are standing up a new central team to build that platform and run it in production. This is the role that leads it, and it is hands-on. You design the architecture, build the first versions of the critical pieces, and are accountable for whether every agent we run is correct, safe, and improving over time. We build rather than buy, and there are no settled best practices for most of this yet, so you will be setting them.
You will lead a team of senior individual contributors extending the platform and driving adoption across teams.
What You’ll Be Responsible For
In this role, you’ll:
- Own the agent platform architecture: The harness and orchestration layer and connectors into company systems, shared context and memory, and the path from prototype to production.
- Catch regressions before they ship: Model, prompt, and tool changes can’t ship until they pass the evals. When a new model comes out, you know within hours whether to adopt it.
- Make every agent observable: Every run and every decision is traced. For any agent at any time, you can answer what it did, why, what it cost, and how its quality is trending.
- Own safety and trust: Design the controls that let agents act without a human in the loop: least-privilege credentials, hard policy limits, escalation thresholds, audit logs, sandboxing, and prompt-injection defenses.
- Replace workflows, don’t assist them: Pick the workflows agents can fully own today and take them to production.
- Turn wins into a platform: Package what works into reusable components, templates, and eval harnesses so other teams can ship their own production agents without starting from scratch.
- Build and direct the team: Hire and grow senior ICs, review their designs and pull requests, and hold the quality bar.
- Measure what matters: Track workflows automated, eval pass rates, cost per run, and work absorbed against the hiring plan.
How You’ll Think
A Point of View on Where Automation Wins
You have a thesis about how AI and automation change the way a company operates, and it comes from building, not reading. You can look at a business and say which workflows agents can own today, which they will own in 12 months as models improve, and which still need people, and why. You defend that view with evidence from systems you have shipped, and you update it when the evals tell you to.
Eval-Driven
You don’t trust an agent because the demo looked good. You trust it because it passes a test set of real cases, and you know which cases it fails. When anything changes, your first question is “what do the evals say?”
Inversion Thinking
Left alone, an autonomous system tends to fail quietly, or people route around it. So the first question about any agent isn’t “does it work on the happy path?” but “how will this break, and how will we know?” The design follows from that answer: what the agent is never allowed to do, what it escalates, and which alert fires when quality drifts.
Recursive Thinking
Every system you build should produce the evidence that grades it. An agent isn’t done when it works. It’s done when it tells you, without you in the loop, that it has stopped working.
Must Have
- Hands-on agent building: Have personally designed and built autonomous agent or LLM systems that ran in production and that others depended on. Prototypes, demos, and configuring a vendor tool don’t count. You don’t need to be a career software engineer, but you must have built these systems yourself.
- Architecture depth: Can explain how the pieces fit together (orchestration, tool and data access, context and memory, tracing, evals, guardrails, deployment), with opinions on current frameworks.
- Security judgment: Have shipped agents that take real actions with real permissions, and designed the controls that made that safe.
- A tested point of view: Can argue, with examples from your own builds, where autonomous systems create real business leverage and where they don’t yet.
- Technical leadership: Have led senior builders and set the quality bar through design and code review.
Strong Signal
- Have replaced a human-run business workflow (finance, operations, support, release management) end to end with an autonomous system.
- Are native to Git, Markdown, and pull requests, and comfortable reading and writing Python or TypeScript.
- Have taken an internal platform from zero to adoption by teams you did not control.
- A software engineering background is a plus, but not required.
What Success Looks Like
- Six months: 20+ autonomous agents in production on the shared platform, each with an eval suite, tracing, and a named owner.
- Regressions get caught, not discovered: Quality problems surface in an alert or dashboard before a user reports them.
- Workflows replaced, not assisted: Multiple high-volume workflows are fully owned by agents, with humans handling only escalations.
- Trusted by default: No agent causes material financial, security, or customer harm, and every agent’s permissions and actions can be audited.
- Teams ship their own: At least three teams outside the core team run production agents built on the platform.
- Autonomous team: Your two reports work independently, and you spend your time on architecture and review rather than execution.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're hiring an IT Systems Administrator to join the founding IT team in San Francisco. You'll run most of our SaaS stack day to day, from maintenance and configuration changes to access and troubleshooting. You'll also build the automation that keeps that stack running as we grow.
This is a role for someone who does a bit of everything: helping an employee that’s locked out, shipping a terraform change, and building an automation that removes a manual task. The ideal candidate has startup experience, is comfortable with ambiguity, and heavily leans into automation.
WHAT YOU'LL DO
SaaS Administration
- Own the day-to-day administration of our SaaS stack, including maintenance, configuration changes, and license management
- Administer LangSmith, our product, and use APIs to automate admin work
- Administer identity and permissions across core SaaS platforms such as Google Workspace, Slack, GitHub, Zoom, and Microsoft 365
Automation and Tooling
- Develop scripts, integrations, and reusable workflows using low or no code tools
- Connect systems through APIs and event-driven workflows to reduce manual work
Identity Management
- Administer Okta and user access
- Manage Okta group rules that help define our RBAC policy
- Establish repeatable standards and automation for employee lifecycle, group management, application provisioning, and access reviews
Client Platform Administration
- Administer our MDM platform, Iru, to enforce policy configurations, patching, zero-touch deployment, and custom desktop environment configurations
- Automate the hardware lifecycle from procurement, assignment, return, and recycling
Core IT Operations
- Provide hands-on troubleshooting and support to employees in the office and remotely across hardware, software, networking, and SaaS tools
- Build and maintain the harness for our AI ITSM agent, including the tools, playbooks, and knowledge it needs to resolve issues on its own
- Write documentation and playbooks, and use recurring support issues to guide what to automate next
WHAT YOU'LL BRING
- 3+ years of experience in IT systems administration or IT engineering, ideally at a fast-growing startup
- Experience administering a broad SaaS stack that includes Google Workspace, Slack, Notion, and AI tools like Claude and ChatGPT
- Hands-on experience administering Okta, including SSO, SCIM provisioning, and Okta Workflows
- Comfort with REST APIs, webhooks, and API authentication methods
- Experience using coding agents (e.g. Claude Code) as part of your day-to-day workflow
- Experience with a macOS MDM platform and endpoint security tooling
- Solid networking fundamentals (TCP/IP, DNS, DHCP, VPNs, wireless)
- Clear communication, with patience for non-technical users
- Annual salary range: $120,000-$160,00 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
The role You will build and lead our Forward Deployed Engineering team: the engineers who connect estaie to the hospitality ecosystem and make those integrations work in production. You own how the team works, what it ships, and the quality bar it holds.
Location: Spain
Workplace: remote
Team: Sales Operations
Location: Fully remote, Spain
Reports to: Head of Sales Ops
The short version
Our sales, account management and partnerships teams deal with our most important customers and partners. Sales Ops is the team that builds, improves and maintains the tools and processes they use to succeed.
We are looking for a senior Salesforce developer who will fully own the platform and everything connected to it: the code, the architecture, the integrations, and the pipelines that move data in and out. This is the technical end of Sales Ops. You will decide how things are built, not just build what you are handed.
What you'll do
Own the Salesforce platform end to end. Over 100 users across 7 key teams, a data model that carries real weight, and a growing set of markets on top of it. You are accountable for how well the whole thing works and where it goes next.
Build in Apex and Flow, and know which one the problem calls for. Triggers, classes, async processing, test coverage, and declarative automation where declarative is the right answer. You write code the next person can maintain, and you leave the org better structured than you found it.
Own the integration layer. Connected tools, APIs and middleware. When data crosses a boundary, you know where it came from, what shape it should arrive in, and what breaks when it stops.
Own ETL and reverse-ETL. Getting data into Salesforce and back out to the warehouse and the rest of the stack. You design these pipelines, you run them, and you fix them when they drift.
Keep the connected stack healthy. Outreach, Modjo, Kubaru, Lusha, Clay, Hightouch and other tools. You don't need to arrive an expert in each, but you should become the person who understands how they fit together.
Set the technical standard. Architecture decisions, review of what gets built declaratively versus in code, and honest calls about technical debt. You work alongside our Salesforce Administrator and Data Ops Analyst, and you are the technical reference point for both.
Push the vision forward. We want all day-to-day sales work to happen in Salesforce: the data our teams need to see, the actions they need to take, and the AI and automation solutions that multiply their productivity. You are the person who makes the hardest parts of that possible.
This is an individual contributor role. As the platform and the function grow, there may be opportunities for it to develop toward technical leadership, depending on business needs and how the team evolves.
How we build
Three principles guide everything we ship:
Top user experience. Minimise admin work for our users, maximise their productivity. Their time is the point.
Build it right. Efficient, scalable, adaptable. We dislike technical debt and we don't pretend it isn't there.
Security and privacy. Customer and prospect data safety is not a checkbox at the end of a project, it's a foundational requirement in everything we do.
What you bring
5+ years Salesforce Sales Cloud development experience supporting commercial teams.
Strong Apex development: triggers, classes, asynchronous processing, governor limits, testing. You can read an unfamiliar org and work out what is safe to change.
Strong Flow development, and the judgement to know when a Flow is the right tool and when it isn't.
Deep understanding of permissions, sharing models and data architecture in Salesforce.
Hands-on experience building and owning ETL and reverse-ETL processes, not just consuming them.
Experience using AI as part of how you work, preferably with Agentforce or Claude, including at least one project where you delivered clear and demonstrable value to a stakeholder team. You can walk us through what you built, what changed, and how you know it mattered.
You can turn a vague request into a spec, and you push back when the request is the wrong fix for the real problem.
An obsession with making your Salesforce users happy. This is not a back-office role. You will hear directly when something is annoying, and you should want to hear it.
Fluent English. Our team and company include people from many European countries, English is our common language.
You love independence and hold yourself accountable. This is a full remote position and micromanagement is not something we do.
Bonus points
Experience with Salesforce Service Cloud.
Salesforce Platform Developer I or II certification.
Experience with Outreach, Clay or Hightouch.
Experience with Databricks, BigQuery or Snowflake.
Experience working in Fintech, banking or other highly regulated environments.
🔵Разрабатывать и запускать бэкенд-фичи вместе с продуктовыми командами (мобайл, веб, маркетинг, аналитика). 🔵Подключать AI- и API-провайдеров и автоматизировать интеграции, чтобы новые подключения не требовали ручной работы.
Задачи:
— Тестировать мобильное приложение
— Прорабатывать тестовую стратегию по новым функциональностям
— Подготавливать тест-кейсы, чек-листы и тестовые сценарии
— Проводить функциональное, регрессионное и интеграционное тестирование
— Разрабатывать и поддерживать автотесты для мобильного приложения
— Поддерживать UI-, API- и screenshot-тесты
— Интегрировать автотесты в CI/CD-процессы
— Анализировать результаты прогонов автотестов и причины падений
— Работать с логами, API, БД, брокерами сообщений и мок-сервисами для проверки end-to-end сценариев
— Заводить, анализировать и сопровождать дефекты до исправления
— Участвовать в планировании релизов и контроле качества поставок
— Проводить code review автотестов
— Помогать команде улучшать процессы тестирования
— Менторить QA-инженеров и помогать им развиваться технически
— Взаимодействовать с разработчиками, аналитиками, backend-командами и владельцами продукта
Требования:
— Опыт тестирования mobile/web приложений от трех лет
— Опыт работы с Rest API
— Опыт работы с SQL/nosql БД на уровне сложных запросов и выгрузок
— Опыт покрытия новых функциональностей при помощи инструментов автотестирования (java) от двух лет
— Опыт работы с интеграционным тестированием
— Опыт работы с CI/CD (Jenkins, GitlabCI)
— Опыт работы с брокерами сообщений (Kafka, RabbitMQ, аналоги)
— Опыт работы с Мок-сервисами (Wiremock или аналоги)
— Опыт работы с SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket
Условия:
— Стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + квартальная премия по результатам KPI
— Удаленный/офисный/гибридный формат работы
— Сложные и интересные задачи, современный стек технологий
— Забота о здоровье: программа ДМС с первых дней работы, включая стоматологию, обслуживание в лучших клиниках города, страхование и компенсация 10-ти дней больничного
— Возможность вертикального и горизонтального карьерного роста: регулярные тренинги, вебинары, митапы и демо-дни
— Оплата посещения профильных конференций и курсов, помощь с подготовкой к публичным выступлениям и написанием статей на Хабр
— Доступ к бесплатным корпоративным библиотекам Alpina Digital, МИФ и бизнес-изданий
Location: New York City; San Francisco
About the Role
We’re looking for a Senior QA Web Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day.
In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces.
Key Responsibilities
- Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle.
- Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features.
- Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved.
- Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes.
- Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process.
- Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution.
Qualifications
- 5+ years of experience in QA, with strong hands-on experience testing web applications
- Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds
- Experience with integration and end-to-end testing across multiple connected products or services
- Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams
- Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently
Location: Warszawa, Poland
Workplace: hybrid
We’re looking for a Level Designer to join the team working on a new 11 bit studios unannounced project.
You’ll help us shape a large, diverse world combining a mix of natural environments with human-made spaces, focused on exploration, survival and first-person traversal. We’re looking for someone who enjoys exploring ideas, prototyping solutions and thinking about how to build engaging spaces at scale, rather than only working within already established patterns.
This position requires working in a hybrid model in our Warsaw office.
Your responsibilities:
Designing and iterating
open-world locations
, from early greyboxes to final layouts,
Creating
natural environments and different biomes
that support exploration, clear navigation and
first-person traversal
,
Designing gameplay spaces around
survival mechanics
, verticality, combat and environmental challenges,
Building varied locations using
modular and scalable solutions
,
Shaping both
outdoor and indoor spaces
, including shelters, abandoned locations and cave systems,
Working closely with Environment Art, Tech Art and Game Design to turn prototypes into convincing and performant locations.
What will help you succeed in this role?
3+ years of professional experience in Level Design,
Strong understanding of first-person (FPP) level design and large-scale/open-world environments,
Experience with Unreal Engine and understanding of open-world systems and workflows, including World Partition,
Strong greyboxing and prototyping skills,
Ability to think systemically and work with modular, set-based design,
Good understanding of pacing, scale, composition, sightlines and player navigation,
Proactive approach to design, research and problem solving,
Good understanding of technical constraints related to large environments,
Good communication and collaboration skills.
Fluent English.
Experience in another engine is not a blocker if you have strong Level Design fundamentals and are comfortable working & learning with Unreal workflows.
Nice to have:
Experience prototyping simple 3D assets in Blender or similar software.
Basic Level Art skills, including working with modular kits, materials, collision and asset placement,
What we offer?
Health and Wellness
psychological support/care
private medical package
Multisport
Development
team training budget
in-office library
Our office
near Metro Stadion Narodowy and Dworzec Wschodni stations
dog-friendly
in-house gym
no dress code
car and bike parking
chill zone
video, board and arcade games
Working conditions
flexible working hours
hybrid work (3 days from office, 2 days from home + additional pool of remote days per year)
20 or 26 days of fully-paid holiday leave
international working environment
Events and more
attendance in game dev events
relocation budget for candidates from abroad
referral program
annual company events
merch/swag
Location: Moldova
Company Background
Coherent Solutions is a global digital product engineering company founded in 1995 and headquartered in Minneapolis, Minnesota. With a presence in nine countries and a team of more than 1,700 engineers, the company provides custom software development and engineering services across web and mobile applications, cloud, DevOps, and data. Coherent Solutions works with clients worldwide to build and scale digital products while fostering a culture of collaboration, transparency, and continuous professional growth.
Project Description
You will work with senior engineers on internal classical machine learning initiatives. The role combines structured learning, practical delivery, and gradual ownership of increasingly complex tasks.
Technologies
Python, pandas, NumPy, scikit-learn, Jupyter
SQL
XGBoost, LightGBM
MLflow
FastAPI
Git, Docker, pytest
What You'll Do
Prepare and validate structured datasets for machine learning tasks, including cleaning, transformation, encoding, scaling, and missing-value handling;
Conduct exploratory data analysis to identify patterns, data quality issues, and opportunities for modeling;
Build, test, and compare ML models for tasks such as regression, classification, clustering, dimensionality reduction, and anomaly detection;
Develop and select features with guidance from senior engineers;
Run experiments, tune model parameters, and evaluate results using appropriate validation approaches and metrics;
Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation;
Write and maintain automated tests for data and model-related code;
Support the delivery of models through REST APIs or batch-processing workflows;
Document model assumptions, results, limitations, and technical decisions;
Work closely with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks;
Job Requirements
1+ year of hands-on Python development experience, including experience with pandas, NumPy, scikit-learn, and Jupyter;
A strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills;
An understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection;
Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills;
An understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization; the ability to select appropriate evaluation metrics, compare models, and perform error analysis;
Familiarity with hyperparameter tuning and reproducible ML pipelines;
SQL skills for data extraction and analysis;
The ability to expose models through REST APIs or batch-processing workflows;
Familiarity with Git, automated testing, Docker, and basic model monitoring;
The ability to explain model behavior, assumptions, limitations, and results;
English at B2 level or higher;
Nice To Have
XGBoost, time-series analysis, recommendation systems, MLflow, model interpretability, cloud services, production ML monitoring, and GenAI, LLM, RAG, prompt-engineering, or agent-development experience;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
💻 Чем предстоит заниматься Проектировать и развивать хранилища данных на PostgreSQL и ClickHouse, обеспечивая высокую нагрузку на запись и чтение. Обеспечивать приём и обработку непрерывных потоков телеметрии: настраивать буферизацию, дедупликацию, корректно работать с опоздавшими событиями.
Location: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What’s the opportunity?
The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers.
We’re now seeing strong demand for data scientists who can apply their expertise directly with our most strategic customers. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support — working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact. You’ll also feed insights from these frontline deployments back into Intercom’s product and strategy — helping shape the future of AI customer service.
This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution.
What will I be doing?
Drive the adoption of Fin by helping customers automate and scale their support operations.
Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact.
Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin.
Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development.
Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact.
What skills do I need?
Proven ability to apply data science in real-world business contexts to drive measurable outcomes.
Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering.
High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing.
Excellent communication skills, both technical and non-technical.
Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using.
Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems.
Experience with AI/ML evaluation, LLM-driven applications, or conversational AI.
Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand.
Bonus skills and attributes
Experience in technical consulting, customer-facing analytics, or SaaS product data science.
Experience reframing the problem, not just solving it, you've spotted when the question you were handed wasn't the right one, and changed what got worked on.
Experience applying AI to scale the data science workflow.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
