• You'll own the systems every other team at Phaidra depends on for ingestion, storage, serving, and orchestration. • Design and build scalable components for the data platform that enable high-throughput data ingestion and processing. • Design and develop systems to store and serve batch data for analytics. • Contribute to the design and implementation of API services and scalable event-driven applications that power the product backend. • Design clear, extensible software interfaces for internal consumers and maintain a high release-quality bar. • Design and optimize data storage and retrieval mechanisms for high throughput, security, and ease of access. • Own and operate your services in production, including releases, deployments, and on-call rotations, meeting Phaidra's high bar for operational excellence. • Lead cross-functional initiatives collaborating with engineers, product managers, and TPMs across teams. • Mentor your peers and be a technical role model on the team.

• Design and execute **data migration workflows** across cloud platforms (AWS, GCP, Azure) • Define and optimize **migration strategies** (online vs offline, scalability, performance trade-offs) • Build and maintain **data pipelines and ETL/ELT workflows** in distributed systems • Integrate and evaluate **LLM / Generative AI components** within workflows • Perform **system testing and validation**, including: - Executing test scenarios - Identifying edge cases and failure points - Debugging and analyzing system behavior • Ensure **data integrity, consistency, and performance** across systems • Document findings, insights, and technical recommendations • Collaborate with cross-functional teams (engineering, data, product, research)

Director of Engineering, Growth USA - Remote Full time Join Workiva as the Director of Engineering for our Growth Team and help build and scale the next generation of solutions. We’re looking for a bold, creative leader to shape the future of new products, partnering with top-tier teams to deliver high impact results for our customers. This is a key role at the intersection of product, engineering, and AI, offering the opportunity to define new systems, drive experimentation at scale, and directly influence business growth. What You'll Do Strategic & Technical Leadership - Operate with high autonomy in shaping roadmap and architecture across an emerging set of new solutions - Partner directly with senior product and business leaders to drive measurable outcomes in alignment with team and company goals - Accelerate product development and guide architectural decisions, empowering technical teams to deliver robust, scalable solutions on time and with high quality - Be hands-on as needed to support the engineering team in its ongoing efforts - Apply AI to accelerate development velocity, power product capabilities, and unlock new growth opportunities People & Operations Management - Attract, develop, and reward top engineering talent to sustain a highly engaged team - Implement and optimize operational processes to ensure alignment with Workiva's strategy, streamlining efficiencies across different Workflow solution areas - Foster an atmosphere of respect, continuous learning, humor, and a shared commitment to business goals and customer success - Enable teams to move quickly and deliver high-quality output - Actively coach managers and engineers to uphold Workiva values, resolve conflicts, and create a culture of trust and psychological safety Customer-Focused Development - Partner with product teams to gain a deep understanding of customer needs and ensure alignment with business goals, especially in creating seamless, user-focused solutions integrated with the Workiva Platform, leveraging the full power of AILead the Growth team in identifying and addressing customer challenges, delivering high-quality, user-focused solutions - Uncover new development opportunities to support Solution expansion and business growth Architectural Leadership - Oversee technical decision-making, ensuring seamless coordination across Growth product areas - Provide leadership for innovative solutions, guiding product architects, and aligning development teams with strategic objectives Organizational Product Development Planning - Align talent, resources, and structures to deliver effective product outcomes - Manage dependencies, support team capabilities, and ensure delivery of high-quality solutions. - Facilitate continuous productivity improvements within the Software Development Lifecycle (SDLC), collaborating with cross-functional leaders for alignment and efficiency What You'll Need Required Qualifications - Bachelor’s degree with 10 years related experience, or Master's degree with 8 years related experience, or PhD with 6 years related experience - 5+ years in direct people management roles, including supervisor experience of managers Preferred Qualifications - Strong emotional intelligence and a proven track record of effective leadership - Experience leading engineering teams in the development of scalable B2B SaaS platforms or products over multiple releases - Broad industry knowledge with strategic insight into modern technology and architecture including the use of AI for both development and embedded in a solution - Extensive experience delivering products to external customers over multiple releases - Applied knowledge of full-stack development, with a focus on technologies such as Java/Kotlin, TypeScript, Event-based systems and Transactional (Relational, No-SQL) & Analytical (OLAP, Data warehouses / lakes) Databases - Excellent problem-solving abilities and a history of architecting and delivering scalable SaaS B2B solutions - Clear, effective communication skills and a customer-centric approach - Ability to work independently in a fast-paced, collaborative environment Travel & Working Conditions - Up to 25% travel for team events and internal meetings - Reliable internet access for any periods of remote work How You’ll Be Rewarded ✅ Salary range in the US: $190,000.00 - $306,000.00 ✅ A discretionary bonus typically paid annually ✅ Restricted Stock Units granted at time of hire ✅ 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Why Join Workiva Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-KP1

• Designing and building the data backbone supporting AI-driven cybersecurity and compliance systems • Collaborating alongside engineering and AI teams to enable scalable, production-ready data pipelines • Creating robust, secure, and AI-ready data infrastructure capable of supporting advanced analytics and machine learning applications • Developing and optimizing data lakes, warehouses, and data models • Implementing ETL/ELT workflows, ensuring reliability and scalability • Maintaining data quality, lineage, and observability across pipelines • Enabling analytics and reporting through well-structured datasets • Implementing secure, privacy-first data architecture