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Job Title: Full-Stack Game Developer (Sports EdTech) Location: Austin, TX (On-site preferred) Salary Range: $150,000 - $200,000 Job Type: Full-Time About the Role We are a well-funded, fast-moving startup looking for a hyper-talented AI Applied Full-Stack Game Developer to build a highly scalable, wildly engaging 2D sports-themed educational game. Think: sinking a three-pointer or winning a home-run derby by rapidly solving math equations. We are targeting the web (HTML5/WebGL) to ensure zero friction, and maximum shareability. We need a top-to-bottom builder who lives at the bleeding edge of game development. If you code with an AI co-pilot, know exactly what makes a web game go viral, and can architect systems for massive scale, we want you on our team. We don’t care how many years you've been in the industry; we care entirely about the quality, scale, and creativity of what you’ve built. What You’ll Do • End-to-End 2D Web Development: Build the entire game architecture from the ground up using 2D web engines (like Phaser or Godot) to ensure lightning-fast browser performance and maximum accessibility., • Architect for Scale (1M+ Users): Design and deploy scalable server architectures and networking systems capable of handling massive multiplayer traffic. You will leverage AI tools to help build complex, highly scalable backend systems from scratch., • Design the Viral Loop: Implement game loops and frictionless social mechanics designed to drive exponential organic growth directly through the browser., • Integrate EdTech APIs: Weave 3rd-party academic content seamlessly into the core mechanics of the game so that learning fuels the action., • Engineer for Re-usability: Build a highly flexible, modular game system designed to be easily re-skinned. Both game mechanics and 2D visual assets must be swappable to fit various sports or seasonal themes., • Balance the Game: Continuously test, tune, and balance gameplay mechanics so the experience feels fair, competitive, and highly rewarding. Why Join Us? You will have the autonomy and the funding to shape the architecture of a game that makes learning highly competitive and fun. You'll be working in a fast-paced, high-energy environment right here in Austin, pushing the boundaries of what AI-assisted, full-stack game development can achieve. • Portfolio Over Pedigree: We don’t have a "years of experience" requirement. We want to see a portfolio or GitHub profile showcasing incredibly well-built, shipped games., • AI-Empowered Developer: You are highly proficient in using AI tools to accelerate your workflow. You actively use AI coding assistants (like Cursor or Claude) and leverage AI for rapid game asset creation and prototyping., • Multiplayer & Full-Stack Expertise: You have proven experience developing both the client-side game and the backend infrastructure for multiplayer experiences., • Game Mechanics Master: You have a strong grasp of game theory, player psychology, and economy balancing., • Need for Speed: You thrive in a fast-paced development environment, fueled by strong funding, and prioritize rapid iteration without sacrificing architectural integrity., • Location: Must be located in Austin, TX. This is a strictly in-person role to foster fast-paced collaboration and whiteboard sessions. Bonus Points • Custom Backend Experience: Proven experience building your own robust backends for multiplayer games is a massive plus., • BaaS Knowledge: Experience with Backend-as-a-Service platforms (like PlayFab, Nakama, Firebase, or Colyseus) is a nice-to-have., • EdTech Background: Previous experience building educational technology, learning games, or working with academic integrations.

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week. As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners: • Code-based data transformations unlock transparency, flexibility, and collaboration, • Analysts should adopt software engineering best practices to build trusted data products, • Core analytics infrastructure should be open source and user-controlled, • Analytic code—not just tools—should be shared and community-driven dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our _. Location: United Kingdom (Remote) • Design delightful, accessible learning experiences that empower data practitioners, • Build impactful learning assets with subject matter experts from professional services, solutions architects, and technical instructors., • Orchestrate the development of learning experiences leveraging Asana, our project management tool., • Deliver experiences in the form of on demand courses in our LMS and instructor led training with customers and developers., • Ensure excellence by closely monitoring course feedback, observing live courses and iterating on learning content over time., • 4+ years of experience in both curriculum development or instructional design and project management, • A technical background (such as analytics, math, data science or programming) at a level sufficient to quickly learn new topics in the data and analytics space and independently create course materials and code exercises, • Experience creating or delivering technical content live in-person and/or virtually, • Exceptional communication skills and someone who enjoys making complex, technical ideas feel simple and manageable, • The ability to thrive in a cross-functional environment especially working within and across remote, asynchronous teams, • The ability to operate in an ambiguous and fast-paced work environment, • Experience with product thinking through prior roles such a product or program management, • Experience collaborating with customer success teams supporting managed accounts, • Experience creating content in an LMS, such as Thought Industries, • Interview with a Talent Acquisition Partner, • Interview with Hiring Manager, • Take Home Task, • Team Interviews with close stakeholders and our VP of Customer Success, • Unlimited vacation time with a culture that actively encourages time off, • Pension Plan, • Comprehensive healthcare coverage, • Generous paid parental leave, • Flexible stipends for:, • Health & Wellness, • Home office setup, • Learning and development, • Office space, • And more! We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. The typical starting salary range for this role is: £64,000 - £78,000 #LI-LC1 dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume. Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI _. dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations. _ _ _

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are in wartime. Pipeline generation, retention, and product velocity are our three highest-priority problems, and AI is the lever that accelerates all three. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across the entire revenue engine — from first touch to closed-won to expansion. This is not a "prompt engineering" role. This is a builder role. You will sit at the intersection of revenue operations, sales, marketing, and customer success, and your job is to make every human on the GTM team dramatically more productive by deploying AI systems that generate pipeline, accelerate deals, and reduce churn. You report directly to the CEO. WHAT THIS ROLE MUST DO TO CHANGE FLOSUM'S TRAJECTORY • Deploy and personally train at least one AI SDR agent within the first 30 days — focused on either inbound qualification from Qualified/Marketo or outbound prospecting via Outreach — and run weekly refinement cycles until it outperforms the bottom half of the human BDR bench., • Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time so no lead waits, no lead gets lost, and AEs only touch prospects that are ready to buy., • Increase revenue-generating time per AE from the current ~25% to 50%+ by automating CRM hygiene, call summarization (via Gong), follow-up sequencing, proposal drafting, and pipeline updates — eliminating every minute of admin work that doesn't directly produce revenue., • Architect the AI layer across Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) so that data flows between systems without manual intervention, every customer touchpoint is captured, and AI agents share learnings in a virtuous loop with Salesforce as the hub., • Build and maintain an AI-driven competitive intelligence engine that monitors our competition, pricing changes, and product launches — and feeds structured insights to sales and product weekly., • Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase — using AI to research accounts, generate personalized messaging based on ICP signals (Salesforce team size, current DevOps tooling, compliance requirements like DORA), and sequence multi-channel touches across email, LinkedIn, and phone., • Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance so that ICP targeting, messaging, and channel mix improve every week based on actual conversion data — not guesswork., • Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal, feeding Terry's CS team with actionable intervention triggers tied to usage data, support ticket patterns, and engagement signals., • Prototype AI-powered product-led growth touchpoints — including conversational qualification on the website, self-serve onboarding assistance, and automated nurture for trial users — supporting the PLG motion as it matures., • Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology: reference checks via email, FDE conversations before contract, and 30-day dedicated training commitments — no lazy agency deployments. Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment — not evaluating, not advising, actually deploying and iterating weekly for at least 90 days. Deep working knowledge of the modern B2B GTM stack — specifically Salesforce (as CRM and data hub), Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or Drift. Ability to write and maintain production integrations — Python, JavaScript, or equivalent — connecting AI agents to CRM, MAP, and sequencing tools via APIs. You don't need to be a software engineer, but you need to ship working code, not just configure no-code tools. Understanding of pipeline math and unit economics: you should be able to work backward from a revenue target to SQLs required, conversion rates by stage, and the specific AI interventions that move each number. If someone says "we need 67 SQLs per quarter at 20% win rate and $75K ASD," you should immediately know where AI can compress that funnel. Experience with AI agent orchestration — managing multiple AI agents working different segments or functions simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality in the hub (Salesforce). Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents — treating agent training as a discipline, not a one-time setup. Comfort operating in a company doing ~$4M ARR with a small, high-intensity team. You will not have a large support staff. You will do the work yourself and scale through automation, not delegation. Strong opinions on when AI should replace human effort versus augment it — and the judgment to know that bad AI automation destroys deals faster than no automation at all. Familiarity with the Salesforce ecosystem — understanding of DevOps, CI/CD, data protection, and compliance workflows is a major advantage. You don't need to be a Salesforce admin, but you need to understand what our buyers care about and why Why Flosum • Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational., • Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem., • Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate., • AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next., • Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits • Competitive base salary + performance bonus, • Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagement