Workiva

Product Marketing

• Serve as a key leader in the GTM Systems organization, establishing clarity, direction, and measurable outcomes for your team
• Inspire and grow technical talent while setting high standards for ownership and delivery
• Define technical architecture and system design patterns across our GTM stack, prioritizing scalability, maintainability, and flexibility
• Lead a team of developers, admins, QA, and DevOps to deliver reliable solutions across Salesforce, CPQ, partner tools, and marketing automation platforms
• Hire, mentor, and grow engineering talent across roles and levels
• Own integration design using best practices for APIs, event-driven architecture, and middleware tools like Workato
• Stay current on AI applications across the GTM tech stack, including predictive analytics, enrichment, scoring, and automation
• Ensure CI/CD pipelines and deployment processes are robust and efficient
• Collaborate closely with business-facing Product Owners (BSAs), SalesOps, MarketingOps, and partner teams to translate business needs into scalable technical solutions
• Identify emerging technologies and define long-term platform direction.

Director, GTM Technical Delivery

Machine Learning Engineer

• Own the architecture of Workiva’s AI platform and core AI services
• Shape how machine learning, Generative AI, and agentic systems are integrated across products
• Lead the move from early adoption to production-grade, enterprise-ready systems
• Define standards for model serving, retrieval, evaluation, governance, and platform reliability
• Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination
• Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows
• Establish evaluation methods and quality frameworks for Generative AI applications
• Assess emerging AI technologies and guide adoption strategy for Workiva’s platform
• Influence technical direction across teams, products, and platform domains
• Mentor Staff and Senior Engineers and help raise the technical bar across the organization
• Partner closely with Product, Security, Infrastructure, and Architecture leaders
• Align teams around a shared vision for scalable, secure AI at Workiva
• Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance
• Establish best practices for AI safety, model governance, and customer data protection
• Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support
• Design for fault tolerance and operational excellence in regulated, security-conscious environments

Senior Staff Machine Learning Engineer

Implementation Specialist

• Manage customer process designs, execute data migration (mapping and transforming), and document processes for seamless handoffs.
• Directly train end users or coordinate comprehensive training plans with customer teams.
• Independently resolve complex challenges, escalating efficiently when needed, while adhering to contractual scopes and utilization targets.
• Evaluate peer and partner implementations to ensure adherence to Workiva best practices, exercising sound judgment on deviations and escalating significant issues.
• Identify trends in customer satisfaction and partner delivery, translating those experiences into structured feedback for product and professional services teams.
• Support joint delivery engagements by guiding partners on Workiva methodology and platform behavior.
• Lead technical enablement sessions to evaluate delivery readiness, and provide constructive feedback using solution rubrics.

Implementation Consultant

• Own and deliver high-quality AI & ML solutions that drive business impact and align with team objectives
• Develop and maintain scalable infrastructure and libraries specific to Workiva science
• Collaborate with stakeholders to define project goals and solve ambiguous, open-ended problems
• Lead technical initiatives, defining blueprints for complex projects involving cross-functional teams
• Provide guidance on tradeoffs between thorough technical solutions and applied business value, reducing the time between POC and ROI
• Mentor and guide team members, fostering a collaborative and high-performing team environment
• Establish and promote best practices in MLOps, cloud infrastructure, and operational processes as it relates to the model development lifecycle
• Write, review, and maintain efficient, testable, and adaptable code
• Proactively optimize existing systems, reducing technical debt and ensuring scalability
• Contribute to strategic planning for ML-driven initiatives and influence the team’s technical direction
• Champion and evolve the culture of experimentation and measurement, ensuring sound decision making for AI and ML features in product

Senior Applied Machine Learning Scientist

Program Manager

• Partner with GTM and business leaders to scope, plan, and execute programs that drive growth, efficiency, and customer success
• Lead cross-functional initiatives such as lead to cash, revenue intelligence, AI for Sales, data enrichment and customer lifecycle optimization
• Define and improve GTM processes to ensure consistency, scalability, and clarity across teams
• Support strategic planning cycles, aligning GTM programs to company objectives and key milestones
• Lead end-to-end delivery of complex GTM programs, from scoping through execution and adoption
• Own program structure, operating models, timelines, dependencies, and risk mitigation strategies
• Drive accountability across stakeholders, proactively resolving blockers and escalating key decisions
• Communicate program status, risks, and outcomes to senior leadership
• Partner with Business Systems, Data & Analytics, and Enablement teams to ensure operational readiness and system support
• Track KPIs and measure program impact against defined outcomes
• Align stakeholders across Sales, Marketing, CPX, Partners, Product, and Technology to deliver shared outcomes
• Navigate ambiguity and shifting priorities while maintaining program momentum
• Build alignment, secure buy-in, and balance competing priorities across complex initiatives
• Foster a culture of collaboration and shared ownership across the GTM ecosystem
• Lead change management efforts, including stakeholder engagement, communication, and rollout planning
• Partner with enablement and operations teams to ensure successful adoption of new tools, processes, and programs
• Develop documentation, training, and communications to support GTM initiatives
• Establish best practices for repeatable, scalable program delivery

Lead Program Manager – GTM Acceleration

Account Manager

• Serve as a subject matter expert for strategic partners, positioning Workiva’s financial reporting solutions and value to the Office of the CFO and CIO
• Empower partners to confidently engage executive buyers by aligning their messaging, demos, and solution strategies with Workiva’s corporate narrative
• Create scalable enablement assets, such as demo scripts, guides, and certification programs, to drive long-term partner proficiency
• Identify and cultivate partner champions capable of independently advocating for, positioning, and demonstrating Workiva solutions
• Collaborate with Partner Sales and internal stakeholders to accelerate partner-sourced pipeline and identify new revenue opportunities across advisory and implementation services
• Act as a trusted technical advisor, building strong relationships with partner leaders and teams to guide their go-to-market offerings, narratives, and sales strategies
• Manage partner-facing projects with ownership and follow-through, bringing structure and momentum to ambiguous or evolving opportunities
• Balance reactive partner support with proactive strategy while contributing insights, tools, and best practices to improve global SC-partner collaboration

Senior Solution Consultant – Partnerships, Financial Reporting

Consultant

• Own the hardest customer problems end-to-end
• Take ambiguous, first-of-their-kind customer problems and drive them from prototype to stable production across multiple deployments
• Design and deploy AI-powered workflows that address real customer challenges
• Serve as a trusted technical advisor to customer regulatory, operations, and IT stakeholders
• Facilitate executive discussions, technical workshops, and solution reviews while helping customers achieve measurable business outcomes and long-term adoption
• Turn recurring customer problems and real-world outcomes into the evaluation criteria, patterns, and priorities that Product and Engineering build into the platform.
• Contribute to a compounding knowledge base by building a shared knowledge environment

Solution Development Consultant

Product Manager

• Lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva’s platform
• Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities
• Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation
• Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes
• Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization
• Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals
• Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences
• Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features
• Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures
• Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

Senior AI Product Manager

Customer Support

• Create usage-driven email and in-app campaigns to increase feature awareness and platform adoption
• Develop and maintain comprehensive customer journey maps to optimize key touchpoints
• Analyze product usage and campaign engagement metrics to deliver targeted, relevant user communications
• Partner with Customer Success, Product, and Marketing to build user-centric workflows and advocate for product adoption
• Establish and monitor KPIs to measure the success of digital programs and engagement initiatives
• Stay aligned with industry trends and technology to continuously iterate and improve digital programs

Customer Experience Engagement Manager

Account Executive

• Actively seek out sales opportunities in collaboration with peer sales teams, Inside Sales, and Partnerships to generate qualified sales pipeline
• Utilize information gathered during the needs analysis phase and partner with the Solutions Consulting team to deliver a compelling demonstration of the Workiva platform
• Skillfully address customer objections - removing obstacles - and finding solutions to various client challenges
• Lead the sales process naturally - guiding it to a close by effectively showcasing Workiva's value proposition
• Regularly and promptly update customer relationship management tools to report customer contacts
• Provide consistent and accurate forward-looking information through pipeline analysis to forecast sales
• Develop and execute a sales strategy with purposeful action to secure the sale
• Rally internal support to pursue an account and optimize internal resources
• Prioritize selling activities and ensure timely follow-through
• Maintain a strong understanding of Workiva products through a commitment to ongoing training and a growth mindset

Account Executive – Corporate Commercial Acquisitions

Director

• Design and implement a multi-year global benefits roadmap
• Act as a strategic advisor to regional HR leaders
• Lead and develop a high-performing team
• Direct the global benefits budget and negotiate with brokers and carriers
• Drive the evolution of benefits technology stack and wellness offerings

Director of Global Benefits

Full-stack Engineer

• Drive 0→1 product development and iteration
• Build and iterate on new AI-powered product concepts from prototype to production, using rapid feedback loops to validate and refine ideas.
• Partner closely with Product and Design to shape problem definition, test hypotheses, and evolve solutions based on user and business impact.
• Make pragmatic trade-offs between speed and scalability, knowing when to optimize for learning versus long-term durability.
• Own architecture, and scale what works
• Define and evolve architecture for emerging products, enabling a path from early experiments to reliable, scalable systems.
• Lead technical discovery and implementation for ambiguous, high-impact initiatives that span multiple systems.
• Establish patterns, frameworks, and guardrails that allow teams to move quickly without sacrificing quality.
• Act as a technical force multiplier
• Set a high bar for code quality, system design, and operational excellence while maintaining a bias toward action and delivery.
• Unblock teams, navigate cross-team dependencies, and drive alignment in fast-moving, evolving problem spaces.
• Identify technical risks early and shape the roadmap to support both near-term delivery and long-term sustainability, again with heavy influence from AI.
• Lead and influence across teams
• Mentor engineers and provide technical guidance across projects and teams.
• Collaborate with Product, UX, and stakeholders to align on priorities, trade-offs, and outcomes.
• Contribute to a culture of experimentation, learning, and continuous improvement.

Staff Software Engineer, Growth

• Drive the architecture and design of a sophisticated competitive intelligence program, serving as the primary internal authority on competitive and market trends.
• Equip sales teams with effective strategies to counter competitor positioning in a highly competitive market
• Establish the protocols and rapid-response frameworks for analyzing and neutralizing competitive misinformation across GTM channels
• Architect and scale evidence-based enablement frameworks and materials, such as predictive battlecards, to elevate the field's competitive positioning
• Drive the strategic direction of the Win/Loss program, determining how internal and external data integrations can best optimize GTM decision-making
• Analyze current and potential target markets, including Total Addressable Market (TAM), Serviceable Available Market (SAM), and SWOT assessments
• Strategize on increased integration of cross-functional capabilities, building formal intelligence-sharing networks with key internal decision-makers to influence functional priorities
• Provide strategic guidance to sales and sales engineering teams on effective competitive tactics
• Develop impactful competitive messaging for global sales and marketing initiatives
• Collaborate with marketing, product, and field teams to refine competitive positioning and influence product development roadmaps
• Represent Workiva at industry forums and conferences, providing insights on market conditions and emerging trends
• Engage with clients and partners to influence decisions through timely and thorough competitive analysis

Director, GTM Technical Delivery

Senior Staff Machine Learning Engineer

Implementation Consultant

Senior Applied Machine Learning Scientist

Senior Staff Machine Learning Engineer

Implementation Consultant

Lead Program Manager – GTM Acceleration

Senior Solution Consultant – Partnerships, Financial Reporting

Solution Development Consultant

Senior AI Product Manager

Customer Experience Engagement Manager

Account Executive – Corporate Commercial Acquisitions

Director of Global Benefits

Staff Software Engineer, Growth

Market Intelligence Director