• Design and build the knowledge infrastructure that gives AI tools at Fleetio structured access to company context. The form this takes (an API layer, a CLI, an SDK, agent configuration, protocol servers, or something new) is a decision you will help make. • Build integrations that connect Fleetio's internal knowledge sources (project management, documentation, code, data warehouses, communication tools) into a consistent, secure context layer with identity passthrough. • Design the system so other teams can extend it. Whether that means spoke templates, plugin architectures, or shared configuration patterns, the goal is to scale beyond what a small team can maintain directly. • Partner with teams across Fleetio to identify where missing context creates the most friction, and build the integrations that close those gaps. This is not engineering-only: Product Managers need AI tools that understand product strategy and customer data; designers need access to design systems and user research; Customer Success needs account history and help center content. • Take ownership of CI/CD intelligence, making pipelines fast, reliable, and trustworthy as AI-accelerated development increases code velocity. • Define and own the measurement framework for AI adoption and internal tool impact across the company. Track what works, surface what doesn't. • Champion AI-first documentation practices: structure internal docs so AI tools can consume them effectively (coding examples, machine-parseable formats, clear interface descriptions). • Collaborate closely with the Platform/SRE team (they own infrastructure; we build the tooling and knowledge layer on top) and with Product Managers, Designers, and Engineers across the organization. • Produce well-tested, maintainable, and performant code. Thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge. • Contribute enterprise-grade capabilities to Fleetio's existing internal AI tooling ecosystem: identity and auth for protected systems, governed data access, cross-system queries, and quality patterns that help the ecosystem scale. • Establish the technical standards for the Leverage team. As the founding engineer, your decisions on architecture, tooling, and code quality will set the bar for everyone who follows.

• Directly manage Software Engineering Team Leads across the Business Productivity, Engineering Tools, and AI Tools teams, providing day-to-day guidance, technical direction, and performance oversight. • Hold regular one-on-ones and team reviews to assess team health, remove blockers, and ensure each team is operating at a high level of efficiency and morale. • Foster a culture of engineering excellence, continuous improvement, psychological safety, and accountability across all software development teams. • Partner with the Director of Tech Talent & People Operations on staffing plans, hiring pipelines, and workforce strategy for engineering teams; collaborate on career track development, role leveling, and succession planning. • Work closely with the Director of AI Strategy & Enablement to align engineering team capabilities and delivery roadmaps with DLB’s AI implementation goals, ensuring teams are equipped to build and maintain AI-powered solutions. • Coordinate with the Director of Solution Delivery & Client Success to translate project requirements and client feedback into engineering priorities, maintain realistic delivery timelines, and ensure client-facing commitments are met. • Establish team-level and individual performance goals aligned to departmental and organizational objectives; conduct regular performance reviews and provide structured, actionable feedback. • Define and track engineering KPIs – including delivery velocity, code quality, system reliability, and team capacity – and use these metrics to drive informed decisions and surface risks early. • Champion career development for engineering staff by identifying growth opportunities, supporting skill-building initiatives, and creating clear paths for advancement in partnership with People Operations. • Define and enforce coding standards, architectural patterns, and development best practices across all software teams to ensure high-quality, maintainable, and secure codebases. • Own the technical roadmap for the software engineering function, balancing short-term delivery demands with long-term architectural health and platform scalability. • Evaluate and introduce new tools, frameworks, and methodologies – including AI-assisted development tooling – that improve team productivity and output quality. • Oversee end-to-end engineering delivery across active projects, ensuring teams are focused, unblocked, and executing against committed timelines and scope. • Manage resource allocation across teams, anticipate capacity constraints, and make proactive adjustments to sustain reliable delivery across the portfolio. • Maintain visibility into project health across all teams and escalate risks or issues to executive leadership with recommended paths to resolution.

Join our network of independent alteration professionals specializing in evening and cocktail wear. What You'll Do • Alter evening gowns, cocktail dresses, and gala/black-tie dresses (hemming, bodice/waist, straps, cups, zippers) • Work with structured formal dresses (multiple layers, lace, beading, sequins, linings) • Conduct fittings, take precise measurements, and communicate timelines clearly • Deliver high-quality finishing and maintain an organized workspace suitable for fittings We also receive requests for wedding dresses, prom dresses, bridesmaid dresses, suits, and other formalwear. Requirements • Experience with women's formalwear and/or evening wear alterations • Strong garment construction knowledge + precision measuring • Machine + hand sewing proficiency • Professional communication and customer service Benefits / Highlights • Work from home (independent contractor role) • Local client requests provided through the platform • Flexibility to accept the jobs that fit your schedule • Opportunity to grow repeat clients and reviews through your profile

• Build scalable APIs and microservices architecture • Design and develop efficient, compatible, and secure custom software applications to deliver complete and highly reliable software and improve end-user experience. • Lead teams of developers by determining which tools, APIs, design patterns and best practices to use. • Design and implement microservices-based solutions, following domain-driven design (DDD) principles to create modular and flexible systems. • Leverage your experience in Javascript to work on both frontend and backend components as needed. • Apply software design principles and UML methodology to create well-structured, maintainable, and scalable code. • Provide technology architectural assessments, strategies, and roadmaps for one or more technology domains. • Define and implement standard processes and procedures for managing data integration and data exchange models between systems on premise and cloud systems including security, traceability, audit, performance, and risk. • Work with delivery team to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features. • Provide constructive feedback of source code during code reviews. • Perform other duties and/or special projects as assigned. • Developing and maintaining all server-side network components. • Ensuring optimal performance of the central database and responsiveness to front-end requests. • Collaborating with front-end developers on the integration of elements. • Designing customer-facing UI and back-end services for various business processes. • Developing high-performance applications by writing testable, reusable, and efficient code.