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Were building the Go-To-Market team for Base44, an AI-powered software development platform recently acquired by our company. In this role, youll be at the forefront of a category-defining shift in how software is built-bringing a transformative product to Enterprise accounts. This is a high-impact, strategic role for a seller who thrives in an entrepreneurial environment. You wont just be following a playbook; youll be helping to write it. Working closely with Base44 and our company leadership, you will drive complex sales cycles, turning technical innovation into tangible business value for multi-stakeholder organizations.
In your day-to-day, you will:
Manage complex, long-term sales cycles with strategic Enterprise accounts, from targeted outreach to close
Turn Base44s AI capabilities into "business-speak" that resonates with VPs of Engineering, CTOs, CIOs, and executive leadership
Shape the enterprise sales motion, navigating complex buying processes, security reviews, and custom procurement workflows
Identify and convert high-value prospects, building strategic partnerships that drive significant revenue growth
Act as a critical feedback loop between Enterprise clients and our product team to influence the platform roadmap and enterprise-grade features
Maintain a clean CRM and provide accurate, predictable pipeline forecasting for large-deal motions.

Required Senior Backend Engineer - Founding Team
About the role
Own the real-time backend of an AI sales coaching platform that's live, growing 2 week-over-week, and one month into go-to-market. You'll be the second backend engineer in a team of five, working directly with the head of engineering and CEO - building the systems that decide whether the product works: live audio pipelines, LLM orchestration under millisecond budgets, and the engine that turns real sales calls into personalized AI training.
We just found go-to-market fit. Now the backend has to keep up with it. That's where you come in.
A word of honesty:
This is an early-stage role at a small startup in its hardest, most exciting phase, and we'd rather you know exactly what that means before you apply.
You will own large parts of the backend, and ownership here is literal: you'll design it, build it, ship it, and get woken up by it. When a customer's live call drops audio, you'll trace it through the WebSocket, the event loop, and the LLM pipeline yourself. Some of our hardest problems aren't exotic - they're the unglamorous ones every fast-moving team accumulates: a background job that fails without telling anyone, a coaching signal that lands a beat too late, a regression that a replay test should have caught. We know exactly where it hurts, and we're hiring the person who ends it - not the person who files a ticket about it.
If you spent the last few years at a company like Wix or Monday, you already know what excellent engineering looks like at scale - strong typing, clean async code, real observability. What you may not have had recently is the feeling that your work visibly moves the company every single week. Here it does. The trade is real: less process and certainty, far more impact and speed. If that trade excites you rather than worries you, keep reading.

Build, operate, and improve production infrastructure, with a focus on AWS, Kubernetes, and CDN and caching systems.
Troubleshoot complex infrastructure issues across Linux, networking, Kubernetes, and content delivery.
Automate infrastructure provisioning and configuration management to make deployments consistent and reliable.
Develop monitoring and alerting, investigate production incidents, and implement improvements that prevent recurrence.
Collaborate with development, support, and QA teams to improve infrastructure reliability and performance.
Propose and implement improvements that benefit our infrastructure, teams, and users.
Participate in the teams on-call rotation to resolve production incidents and restore service availability.

We're looking for an AI-native engineer to build the autonomous agents that power our SalesOS. You'll work directly under the engineering head and the founders, and you'll be the one bringing the agents to life. The architecture gets set above you; the agents get built by you. Do this well and you grow fast.
We're now bringing in the engineer who will turn agent designs into shipped, reliable systems - the discovery prompts, the objection-handling logic, the orchestration that decides what the coach says and when.
This role sits close to the heart of the product. The person who gets this right will write code that real reps lean on during real deals.
A word of honesty:
This is an early-team role at a fast-moving company, which means it is hands-on and unglamorous in the way that matters. You will write the agent code, not just diagram it. You will build the eval harness yourself. You will chase down why a coaching response was wrong at 9pm because a customer demo is tomorrow. You will work from a product requirement, figure out the right agent design, and live with the calls you make. The senior team sets the architecture, but inside it you own the implementation end to end - and "it works on my machine" is not the bar. If you want a research seat where you read papers and prototype in notebooks, this is the wrong role. If you want to ship autonomous agents into production and watch them earn their keep on live sales calls, read on.
What you'll do:
Build and iterate the agents themselves - from design to production: coaching reps, analyzing deals, surfacing insight in real time.
Build tool-use and integrations that let agents reach CRMs, transcripts, calendars, and internal data (Gong, Fireflies, Stripe, Apollo, Resend).
Build prompt pipelines for structured outputs, classification, summarization, and coaching feedback - and the eval harnesses that prove they're good.
Write orchestration code that manages agent state, retries, fallbacks, and human-in-the-loop checkpoints - including the failure paths most people skip.
Own the database operations, FastAPI endpoints, and background workers that the agent workflows run on.

We're hiring the person who will own our R&D- engineering, QA, and applied AI research - as a founding-team hire.
That means all of it: what we build and how, the quality bar and how we enforce it, the AI architecture and the research that keeps it ahead, who we hire, and when we're ready to ship. You'll inherit all three functions, decide what they should look like at 3x, and build that.
You'll report directly to the founder and work alongside our Lead PM, who owns product direction and roadmap. You own how it gets built, how good it is, and how fast it moves.
A word of honesty:
This is a founding-team role at an early-stage company, which means it is hands-on. You will get into the code. You will run the QA passes yourself, on the things that matter most, even though QA isn't your only job. You will test a video session on a bad connection at 9pm because a launch depends on it. You will make calls with incomplete information and live with them. You'll lead R&D, but you'll lead by doing, not by directing. If you want a purely strategic seat with people beneath you to execute, this is the wrong role. The reverse is just as true: this is not a senior engineering job with a bigger title on it. You'll be managing people, hiring them, and answering for their work, and there's no technical leader above you to learn that from. If you haven't done it before, this isn't the place to start. If you want to own the hardest, most consequential technical problems in the company and see them through, read on.
What you'll own:
Reliability of realtime AI agents, audio and chat sessions on a user's old laptop and a sales rep's poor wifi, not just a developer's machine.
Turning a launch-phase codebase into one a growing team can work in safely.
The quality bar for everything that ships. We have a QA function today, not a QA department - part of this role is deciding what it should become, and how much of it is people versus automated test infrastructure. We don't have a fixed answer; you'll set it.
End-to-end quality of the booking-and-payments flow, including the failure paths most teams skip.
Security and privacy of sensitive sales conversation data - the controls that keep us defensible, and an independent security review you can run yourself.
The AI and agent architecture: what models, what orchestration, what runs on-device versus in the cloud, and how we stay ahead as the underlying models move.
Evaluation as a discipline - you own how we know whether the coaching is actually getting better. The evals, the benchmarks and the harnesses that tell us a change is real and not a vibe, on a product where the output is a judgment call rather than a right answer.
Turning research results into shipped product, not internal demos.
Hiring, structure and standards across all three functions.
A delivery cadence the company can plan around.

If you want to work where AI, developer tools and the entire our company platform meet, this team is for you. We're building how our company sites are extended with code in the age of Vibe Coding: an orchestration layer, an AI agent that writes code, and an IDE built into our company products.
You'll be a true xEngineer here, working on frontend, backend and AI agents. You'll own complex systems that touch almost every part of the company Developer Platform, and along the way you'll learn how our company works as a whole.
Build and evolve the Studio 2 Orchestrator - connecting Developer Platform components such as Remote Machine, Code Store, BaaS, our company CLI and Dev Center into one smooth development experience
Develop our company Code Codegen, an AI agent that generates production-ready code for our companys new generation editors - Studio 2 and Harmony
Build the IDE Platform, a reusable VS Code-based React component used in Studio, Velo and our company Vibe
Own features end to end across the stack, from React UIs to backend services and from architecture through production
Work with Developer Platform teams and core our company teams (Editors, Viewer, MetaSite and more) to design solutions that span systems
Help decide how the company Developer Platform should work in the world of Vibe Coding.

A unique team of designers who approach our companys products from design, content and product perspectives. Working closely with PMs, engineers, UXs, and other designers, the team uncovers real user needs, explores solutions with AI and emerging technologies, and delivers scalable solutions to real design and product issues.
Apply your expertise in visual design, from brand identity to design systems, to influence how website content is structured and presented.
Validate team concepts by creating design assets, running product research, and testing new design approaches to assess viability.
Create design and content frameworks and guidelines that shape our product strategy and creative approach, and enable other teams to implement templates, components, and content patterns across our platforms.

As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

Join FED Core as a hands-on technical leader shaping the development experience of engineers across our company.
Youll set technical direction, lead complex cross-company initiatives, and personally build the infrastructure and tools that help our company engineers develop, test, integrate, and deliver software faster. While our expertise is rooted in the frontend ecosystem, our impact spans our companys entire engineering organization and crosses TypeScript, Node.js, Scala, Java, and the systems connecting them.
In this role, you will:
Shape the technical vision and architecture for developer infrastructure used across our company
Identify friction and velocity killers throughout the development lifecycle, then turn them into simple, scalable solutions
Lead high-impact initiatives from early exploration and technical design through implementation, adoption, and production
Remain deeply hands-on, investigating problems, writing code, building prototypes, and improving existing systems
Create tools and workflows that connect development across repositories, services, pull requests, local environments, and production
Drive AI-native engineering practices by exploring new capabilities and turning them into practical, everyday developer experiences
Work across organizational and technological boundaries, bringing the right people together and moving complex initiatives forward
Influence engineering standards and practices through technical expertise, strong judgment, and demonstrated results
Collaborate closely with infrastructure teams, product engineering groups, and developers across our company to understand their needs and deliver meaningful improvements
Mentor engineers and raise the technical bar without formal people-management responsibilities.

As a System Administrator / IT Engineer on the IPE (Internal Platform Engineering) team, you will manage, optimize, and secure our global IT infrastructure and cloud environments. You will be responsible for enterprise identity management, endpoint administration, cloud operations, and leveraging modern AI tools to automate workflows. Working closely with cross-functional teams, you will ensure our global systems run seamlessly, securely, and efficiently.
Responsibilities:
Administer enterprise identity, access management , and directory services using Okta and Google Workspace.
Manage global endpoints, configuration profiles, and compliance policies using Jamf (macOS) and Microsoft Intune (Windows/Linux).
Evaluate, implement, and leverage AI-driven tools and automation to optimize system processes, resolve tickets faster, and streamline IT operations.
Provide advanced (Tier 2/3) technical support and escalation management for complex hardware, software, network, and SaaS issues globally.
Manage automated user onboarding and offboarding workflows across all core identity platforms and applications.
Maintain, monitor, and document local and cloud infrastructure to ensure high availability, security compliance, and audit readiness.

Required Junior Customer Success
The Big Picture:
Mental health is the defining health challenge of our time. Millions of people are living with stress, loneliness, and emotional struggles, yet most never get the support they need. Traditional therapy doesn't scale. AI-only tools lack the human warmth that real growth requires.
We are changing that. We've built a new model of care - one grounded in real human connection, guided by an AI-powered engine, and proven to deliver outstanding outcomes. We're live, growing, and looking for the people who will help us scale.
The Role:
As our Customer Success hire, you'll be the primary human touchpoint for our participants. You'll support people on their emotional journeys, ensure they get real value from the platform, and surface their experiences and needs back to the product and clinical teams.
This is not a ticket-queue role. It's a people's role. You'll be in daily dialogue with users, building trust, gathering signals, and helping shape the product's next chapter.
What You'll Do:
Manage ongoing, day-to-day communication with participants - answering questions, solving friction, and keeping them engaged.
Listen carefully to user feedback and translate it into clear, actionable product insights.
Plan, prioritize, and juggle a wide variety of tasks and user-facing workflows simultaneously.
Work closely with the product team to close the loop between user experience and product decisions.
Contribute to operational processes as the company scales.
Actively contribute to user acquisition by establishing early relationships with prospective users and guiding them through the conversion funnel.
Identify drop-off points and take action to keep users engaged and progressing.

As a Product Manager, you'll lead one of Base44's newest products end to end: strategy, roadmap, and the calls on what ships. It's already live with real users, there's a lot still to shape, and some of our strongest engineers and designers are already on it. You'll work closely with engineering, AI and design to define what we build, why we build it, and how we measure success.
This is a hands-on role. You should be as comfortable discussing architecture and model behavior with engineers as you are talking to users and digging into data.
What you'll do:
Own the strategy, roadmap and execution for the product, from discovery to launch and iteration.
Work closely with engineering and AI teams on technical product decisions: agent capabilities, integrations, and how the product fits into the way teams already build and ship software.
Deeply understand our users, from solo builders to product, design and engineering teams inside companies, through research, feedback, usage data and hands-on use of the product.
Define clear requirements, priorities and success metrics, and make fast, well-reasoned trade-offs.
Use data and experiments to understand how users build, where they get stuck, and what drives activation, retention and growth.
Track the fast-changing AI landscape and turn new model capabilities into product opportunities.
Build prototypes and internal tools yourself with Base44 and other AI tools to test ideas quickly.
Work with Design, Marketing, Sales and Support to make sure what we ship lands well with users.

As an AI Engineer, you'll work on cutting-edge technologies, tackle challenging technical problems, and influence the engineering culture at Base44. You'll become an industry leader in AI-native development while improving your skills and collaborating with top-notch engineers. You'll be part of a team that lives and breathes AI, redefining how software is built from the ground up.
In your day-to-day, you will:
Work on cutting-edge technologies and become an industry leader
Use AI to bridge ideation to production in record time without compromising on code quality, security, or architecture.
Improve your skills and learn from top-notch engineers
Tackle tough problems and find creative ways to solve them
Push your code to millions of users every day
Solve tough technical challenges on a cutting-edge, AI-powered platform
Influence our engineering culture by contributing to internal knowledge sharing and, if you're interested, the open-source community.

As a Product Analyst, you'll play a key role in shaping and driving data-driven decisions for Base44. This high-impact, fast-paced role is focused on building a new product category, requiring a proactive problem-solver who thrives in a dynamic environment.
In your day-to-day, you will:
Lead end-to-end product analysis across the Base44 user journey- from onboarding and activation to feature adoption, retention, and app monetization
Own the data lifecycle from clarifying core product questions to ensuring data quality, user behavioral tracking, and delivering actionable product insights
Challenge the why and how of product features, driving data-informed decisions that shape the product roadmap
Deeply understand user behavior by identifying patterns, churn risks, and anomalies across different cohorts and user segments
Enable high-velocity decision-making by building trustworthy dashboards and self-serve reporting tools for Product Managers, Designers, and Leadership
Leverage state-of-the-art AI tools (including Claude, ChatGPT, and LLM-assisted workflows) to accelerate data processing, automate insights generation, and enhance product experimentation.