FLOWX.AI

Account Executive

• Source new opportunities to supplement the BDR & marketing teams’ lead generation efforts.
• Build and manage relationships with prospective & existing customers.
• Lead in-depth discovery sessions to understand business needs, challenges, and desired outcomes.
• Collaborate with product, engineering, and solutions teams to build demonstrations and proposals.
• Present FlowX.AI’s value in a clear, practical way that aligns with customer goals, using Gap Selling principles.
• Maintain an accurate pipeline and provide regular updates on progress and forecasts.
• Learn and stay current on FlowX.AI’s platform, use cases, and evolving customer needs.
• Contribute feedback from customers to help inform product and go-to-market improvements.

Manager

• Own the full Academy lifecycle - content production, release-notes alignment, cohort delivery, and course maintenance - ensuring programs stay current, high-quality, and tightly tied to product evolution.
• Manage the Certification program end-to-end: cohort scheduling, evaluator calibration, pass rates, appeals, re-sit policy, and ongoing maintenance of the competency framework.
• Operate, adapt, and extend the available tooling stack (LMS, video/audio editing, Python tools, agent system, MDX pipeline, cert evaluator) - and build on top of it as needs evolve.
• Coordinate with SMEs, R&D, and product teams to keep content pipelines moving - managing dependencies, release calendars, and competing priorities without dropping the ball.
• Flag blockers, ambiguities, and evolving requirements in real time - and bring your own agenda to 1:1s rather than waiting to be asked.

Academy & Certification Programs Manager

Product Manager

• Own the implementation backlog end-to-end — from initial scope through go-live — ensuring every sprint delivers measurable progress toward client objectives.
• Partner with client stakeholders to understand their business processes and success criteria, translating these into a prioritized backlog of epics, user stories, and acceptance criteria.
• Make daily trade-off decisions on scope, sequence, and priority — balancing client expectations, platform capabilities, and delivery capacity.
• Lead Agile ceremonies (sprint planning, refinement, reviews, retrospectives), setting clear sprint goals tied to client milestones.
• Serve as the single point of accountability between the client and the FlowX delivery team — manage expectations, surface risks early, and keep everyone aligned.
• Collaborate with FlowX product and engineering teams to flag gaps, relay client feedback, and influence platform evolution based on real-world implementation experience.

Product Owner

Architect

• Engage directly with clients to understand their business requirements and translate them into technical solutions powered by AI agents and multi-agent orchestration.
• Design and architect end-to-end agentic solutions — including agent workflows, tool integrations, and human-in-the-loop patterns — that integrate seamlessly with clients' existing systems across backend, frontend, mobile, and database components.
• Define and implement AI agent architectures, including agent chaining, retrieval-augmented generation (RAG), and autonomous decision-making workflows within regulated environments.
• Advocate for best practices in software development and architecture, including microservices, containerization with Kubernetes, and responsible AI design patterns (guardrails, observability, auditability).
• Participate in pre-sales activities, including solution demonstrations, agentic AI workshops, and proposal development.
• Collaborate with cross-functional teams within FlowX.AI — including AI/ML, product, and engineering — to ensure customer success and satisfaction.

Forward Deployed Architect

Project Manager

• Lead multi-month, cross-functional projects, including agentic AI deployments — ensuring timely, high-quality delivery.
• Act as the main point of contact for clients, managing expectations around AI solution delivery, adoption timelines, and change management.
• Drive Agile practices, daily operations, and issue resolution across teams that include solution architects, AI engineers, and domain specialists.
• Coordinate the delivery of multi-agent workflows and AI-powered automation projects, managing dependencies between AI components, integrations, and business processes.
• Nurture client relationships and identify opportunities to expand partnerships, including upselling additional AI agent use cases.

Sales Operations Manager

• Set up and maintain a sales infrastructure and operating system to enable predictability, repeatability, and speed.
• Enable the sales team to sell faster & smarter through smart assets and processes.
• Improve pipeline velocity, sales data quality, and best practices adherence.
• Deliver predictable revenue insights and accurate forecasting.

Revenue & Sales Operations Lead

QA Engineer

• Develop, execute and maintain test plans and test cases to validate software functionality, performance, and scalability autonomously.
• Conduct thorough functional, regression, integration, and system testing, utilizing both manual and automated testing tools to identify defects and areas for improvement.
• Perform manual testing to validate edge cases, usability, and user interface elements.
• Generate reports on automated tests.
• Collaborate closely with cross-functional teams including developers, product managers, and designers to identify test requirements and ensure comprehensive test coverage.

Senior QA Engineer

Attorney

• Provide expert legal advice across diverse fields including software development, licensing, corporate governance, regulatory compliance, and AI legislation.
• Review, draft, and negotiate a wide range of legal agreements, such as:
• Software licensing (on-prem, SaaS, hybrid)
• Strategic partnerships and commercial contracts
• AI product terms, disclaimers, and data processing agreements (DPAs)
• Stay at the forefront of evolving regulatory frameworks (e.g., GDPR, EU AI Act, DORA) and ensure compliance across jurisdictions and industries.
• Lead contract structuring and negotiation with enterprise clients, public authorities, and external counsel.
• Advise internal teams - including product, compliance, and executive leadership - on legal risks and risk mitigation strategies.
• Build and maintain strong relationships with external legal counterparts and regulators across borders.
• Contribute to FlowX.AI’s legal operations by implementing best-in-class legal processes and documentation standards.
• Take full ownership of your workboard: follow through, close loops, and maintain discipline in execution.

Legal Consultant – Tech, Corporate & Regulatory

SDET

• Design, develop, and maintain automated test suites (preferably with Playwright, TypeScript).
• Create and execute test plans to validate software functionality and performance.
• Integrate automated testing into CI/CD pipelines.
• Perform manual testing where necessary to validate edge cases, usability, and user interface elements.
• Conduct functional, regression, and system testing; identify and report defects.
• Collaborate with developers, devops, product and platform teams to ensure full test coverage.
• Generate reports and insights on testing results.

QA Automation Engineer

Sales Development Rep

• Own the inbound pipeline: respond to leads quickly (on hourly and daily cadences), reach out, ask the right questions, and qualify & schedule with precision.
• Research accounts before every conversation - understand the company, the industry, and where AI fits into their world.
• Use our CRM and sales tools fluently: log everything, keep data clean, and surface insights that help the team.
• Coordinate across time zones, covering both US and European business hours.
• Collaborate closely with AEs to ensure a smooth, informed handoff every time.
• Spot patterns in inbound traffic and share what you're seeing with marketing and sales leadership.