Spendesk

Full-stack Engineer

• Design, build, and operate backend services and APIs that power conversational and agentic AI features.
• Implement the services needed for context management, tool invocation, rich content access, and multi-step orchestration.
• Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage.
• Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.
• Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences.
• Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.
• Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.
• Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.
• Own complex backend components end-to-end, from design and implementation to deployment and maintenance.
• Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services.
• Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
• Instrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.
• Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.
• Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.
• Partner with applicative squads to connect backend services with the tools, context, and business actions needed by AI systems.

Senior Software Engineer – AI

• Design, build, and operate backend services and APIs that power conversational and agentic AI features.
• Implement the services needed for context management, tool invocation, rich content access, and multi-step orchestration.
• Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage.
• Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.
• Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences.
• Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.
• Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.
• Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.
• Own complex backend components end-to-end, from design and implementation to deployment and maintenance.
• Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services.
• Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
• Instrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.
• Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.
• Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.

Software Engineer – AI

Recruitment

• Drive recruitment for our Go-To-Market roles (AE, AM, CSM, Sales Ops, etc.), managing sourcing, screening, interviewing, offer, and onboarding processes with strong autonomy.
• Guide and advise Sales and Revenue hiring managers, developing tailored hiring strategies while promoting best practices and diversity hiring.
• Build and maintain pipelines of qualified commercial talent through active headhunting, leveraging your knowledge of the tech/SaaS talent market.
• Champion a positive, authentic, and inclusive candidate journey, from first contact to onboarding.
• Collaborate with the People and Marketing teams to position Spendesk as an employer of choice for top commercial talent.
• Implement and improve efficient recruitment processes, leveraging data and feedback to drive efficiency and quality.
• Stay on top of talent trends, salary benchmarks, and competitor activity in the GTM space, sharing insights with the team and leadership.
• Actively contribute to our diversity, equity & inclusion efforts, ensuring an equitable recruitment process for all candidates.

Talent Acquisition Specialist – Go-To-Market

Analytics Engineer

• Build the data foundation that powers Spendesk
• Lead the technical direction and delivery of the team responsible for making Spendesk’s data reliable, well-governed, high-quality, and easily accessible
• Work in a cross-functional squad composed of Data Engineer, Analytics Engineers, Software Engineer, and Data Product Manager
• Define architecture, raise technical standards, unblock engineers, review code and models, help the team deliver with more clarity, quality, and pace
• Lead the complete redesign of Spendesk’s core data model
• Support the migration to a new BI tool and the rationalization of existing dashboards
• Improve data quality, observability, documentation, and governance across the platform
• Help implement AI-powered tooling to make data easier to access and use

Lead Analytics Engineer – IC5

Product Marketing

• Champion our product, collaborating closely with product teams and advocating our products and features value to our external and internal audiences.
• Build clear positioning and messaging that translates complex product capabilities into simple, compelling stories for finance teams.
• Turn customer insight into strategy, gathering and using a variety of insights to build a clear picture of customer needs, pain points, buying behaviours, and opportunities.
• Drive competitive intelligence and data analysis, turning insights into practical recommendations that help strengthen our ability to win.
• Lead go-to-market moments with pace and precision, working closely with Product, Marketing, and customer-facing teams.
• Shape how Spendesk brings products to market, contributing to end-to-end product marketing strategy across launches, adoption and ongoing product narratives.
• Connect product marketing work to business outcomes, helping improve metrics that contribute to business and team goals.
• Build high-quality core PMM assets yourself, from messaging frameworks and launch briefs to sales decks, emails, positioning docs, and strategic recommendations.
• Develop and evolve market segmentation, helping Spendesk understand where we can create the most value across company sizes, regions, personas and use cases.
• Create enablement that Sales and Customer Success teams actually use, building both strong relationships and resources that build confidence and consistency.
• Partner with Marketing to bring product stories to market, shaping campaigns, website messaging, and other moments that help customers and prospects understand why Spendesk matters.
• Drive cross-functional clarity, helping teams align on what we’re saying, why it matters, who it is for, and how it should show up across customer touchpoints.

Senior Product Marketing Manager

Security Engineer

• Champion security-by-design: Advise and collaborate with development and infrastructure teams to embed security best practices from the start of every project.
• Lead technical security reviews: Conduct in-depth code reviews (TypeScript, Node.js, Python) to uncover and remediate vulnerabilities.
• Analyze third-party libraries and dependencies, including reverse engineering when needed.
• Review Infrastructure-as-Code (Terraform) and multi-tenant AWS setups.
• Drive security audits & testing: Plan and execute penetration tests and intrusion campaigns on systems, applications, and internal tools (CI/CD, authentication, etc.).
• Propose actionable remediation strategies to strengthen our defenses.
• Own security monitoring: Oversee and maintain our SIEM (ElasticSearch, multi-node Linux).
• Develop automation tools and scripts for proactive threat detection and incident response.
• Shape security culture: Help update policies and procedures, and raise awareness across teams through coaching, workshops, and communication.
• Stay ahead of threats: Monitor emerging vulnerabilities and attack techniques, and recommend adaptive defense strategies.

Technical Security Expert

Product Manager

• Define and own the multi-year vision and strategy for your product line, ensuring alignment with company objectives and market opportunities
• Drive the product line roadmap, balancing innovation, customer needs, technical debt, and business priorities across multiple PMs and squads
• Establish success metrics and OKRs at the product line level, tracking impact on customer satisfaction, adoption, retention, and revenue
• Build competitive differentiation by deeply understanding market trends, competitor positioning, and customer needs
• Partner with Marketing to develop positioning, messaging, and launch strategies for major product releases
• Work closely with Sales leadership to define ideal customer profiles, pricing strategies, and sales enablement materials
• Lead, coach, and develop a team of 3-5 Product Managers, fostering a culture of ownership, curiosity, and customer obsession
• Build team capabilities through mentorship, feedback, and exposure to strategic initiatives
• Hire and onboard exceptional product talent as the team scales
• Serve as the primary product point of contact for C-level executives, key customers, and strategic partners
• Build and maintain strong relationships with internal stakeholders across Sales, Customer Success, Marketing, Finance, and Operations
• Navigate complex stakeholder landscapes to build consensus and drive decision-making
• Partner with Engineering and Design leadership to ensure technical feasibility and exceptional user experience.