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Workiva Interview Questions

Workiva Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Workiva Salaries by Position

<div id="sajCpTopImage"></div><div id="sajCpCustomDescription">As a Lead Data Product Manager, you will own the end-to-end lifecycle of our strategic data products, from ideation to launch. Collaborating with cross-functional teams-including engineering, analytics, and business partners-you will define a clear vision, establish scalable frameworks, and ensure our data capabilities deliver measurable value to the organization and our customers. In this role, you will bridge the gap between business needs and technical solutions, shaping innovative data products that empower stakeholders to make informed decisions and unlock new growth opportunities. This role will report to VP, Data & Analytics within the Business Technology (BT) organization. BT powers Workiva's growth, enhances the employee experience, and boosts organizational productivity with tech-driven transformation and innovative solutions. The Data & Analytics team drives data-driven decisions and innovations across Workiva.What You'll Do Define the Data Product Vision<ul><li>Collaborate with stakeholders to proactively understand and synthesize data needs across business functions</li><li>Identify common components and foundational data requirements to build scalable data models and analytical solutions</li><li>Develop a compelling vision and roadmap for strategic data products that align with business objectives and drive measurable outcomes</li></ul>Drive Cross-Functional Prioritization and Alignment<ul><li>Establish and socialize a cross-functional prioritization framework to balance competing needs and drive stakeholder alignment</li><li>Lead ongoing prioritization efforts, ensuring a balance between consensus building and time to value</li></ul>Lead Data Product Development<ul><li>Manage the full lifecycle of key data products, including requirements gathering, development, and launch</li><li>Define and enforce processes and standards to ensure data products meet the diverse needs of stakeholders</li><li>Efficiently multitask across various data initiatives, balancing long-term strategic goals with immediate tactical needs</li></ul>Drive Adoption and Measure Success<ul><li>Engage with data users pre- and post-launch to ensure data products deliver on their intended business outcomes</li><li>Define success metrics and key performance indicators (KPIs) to track the adoption, accountability, and impact of data products</li></ul>Build to Scale<ul><li>Partner with Data Engineering, Analytics Engineering, BI Engineering, and Decision Science teams to design and implement scalable data models, pipelines, and analytical solutions</li><li>Identify opportunities to streamline data ingestion, transformation, and delivery processes, ensuring efficiency and accuracy at scale</li><li>Leverage cutting-edge technologies and best practices to future-proof our data infrastructure and maximize the impact of analytical capabilities</li></ul>Foster a Data-Driven Culture<ul><li>Craft and present compelling data stories to inspire action and engagement from both technical and non-technical stakeholders</li><li>Develop and deliver enablement resources-such as workshops, training sessions, and documentation-that empower teams to effectively utilize data tools and products</li></ul>What You'll Need Minimum Qualifications<ul><li>8+ years of product management experience in a related industry</li><li>Bachelor's degree in Engineering, Computer Science, Data Science, or a related field, or equivalent technical experience</li><li>Proven track record of delivering impactful data products that drive business growth and innovation</li></ul>Preferred Qualifications<ul><li>Background in SaaS or experience working with subscription-based business models</li><li>Deep understanding of data architecture, ETL processes, APIs, machine learning, and analytical best practices</li><li>Strong understanding of data pipelines, databases, data models, and analytics platforms</li><li>Exceptional communication and stakeholder management skills, bridging technical and non-technical audiences</li><li>Proven ability to lead cross-functional teams in defining product vision, establishing requirements, coordinating resources, and navigating key milestones.</li><li>Ability to analyze and use data to inform decision-making and product prioritization</li><li>Entrepreneurial spirit with a beginner's mindset and the ability to execute complex product initiatives</li><li>Experience with tools we use every day (Cloud Platforms: AWS, Snowflake), (Data Technologies: Redshift, BigQuery, Fivetran, Airflow, dbt), (Visualization Tools: Quicksight, Superset, or Python libraries (e.g., Seaborn, Matplotlib), (Analytics: SQL, SageMaker)</li></ul>Travel Requirements & Working Conditions<ul><li>Less than 20% travel</li><li>Reliable internet access for any period of time working remotely, not in a Workiva office</li></ul>How You'll Be Rewarded Salary range in the US: $151,000.00 - $242,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits packageThe 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.Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email <a target="_blank" href="mailto:talentacquisition@workiva.com">talentacquisition@workiva.com</a>. 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-LP1</div><div id="sajCpQualifications"><div id="sajCpQualificationsRequired"><h3 class="jobOverviewSubtitle">Required</h3><ul></ul></div><div id="sajCpQualificationsPreferred"><h3 class="jobOverviewSubtitle">Preferred</h3><ul></ul></div></div><div id="sajCpIndustries"><h3 class="jobOverviewSubtitle">Job Industries</h3><ul><li><a id="sajCpSingleIndustryLink" href="https://www.snagajob.com//job-search/q-Other">Other</a></li></ul></div>

The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices. The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva's platform.
The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva's machine learning solutions. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members.
What You'll Do
Design systems to enable rapid ML development, high availability, and clear observability

Develop APIs with product teams to access Workiva's ML solutions

Deliver, update, maintain machine learning infrastructure

Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes

Write automated tests (unit, integration, functional, etc) with ML solutions in mind

Debug and troubleshoot components across multiple service and application contexts

Engage with support teams in triaging and resolving production issues

Participate in on-call rotations which include 24x7 support of all of Workiva's SaaS hosted environments

Perform Code Reviews within your team's products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate

Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements

What You'll Need
Minimum requirements
2+ years of relevant experience with a Bachelor's Degree or equivalent experience

Preferred Qualifications
4+ years of ML engineering or related experience

Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems

Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure

Familiarity with Generative AI and related development patterns

Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub)

Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent)

Strong programming foundation, including data structures, algorithms, and distributed systems

Experience in Agile/Sprint environments and debugging complex systems or applications

Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing

Excellent communication and organizational skills for managing multiple projects and deliverables

Travel Requirements and Working Conditions
Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests

Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements

How You'll Be Rewarded
Salary range in the US: $111,000.00 - $178,000.00  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.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.
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-MJ2  Required    Preferred    Job Industries     Other

<div id="sajCpTopImage"></div><div id="sajCpCustomDescription">Join Frontend Frameworks at Workiva and help construct the internal frameworks that other teams build upon to make resilient and user-friendly web applications. The Frontend Architecture team owns the application shell that houses all of our products and our proprietary microfrontend framework that seamlessly integrates many independently deployed frontends. Much of this is built in the Dart language, but we're scaling up to accelerate enablement of TypeScript as a first class frontend language at Workiva, and need an injection of TypeScript + React talent to help guide and execute our evolution. As a Senior Frontend Engineer, you will play a central role in executing our frontend TypeScript enablement initiative by building frontend features and libraries, canonizing best practice patterns and tools, and guiding/mentoring fellow engineers in TypeScript + React development. You will help us elevate our frontend developer experience and bolster the scalability, adaptability, and expansiveness of our web applications. Through close collaboration with our talented engineering and design cohorts, you will drive the delivery of top-tier solutions that exceed our customers' expectations. We are searching for an enthusiastic, frontend obsessed individual who relishes continual growth and is eager to grow TypeScript development across our products. If you are fueled by innovation and thrive in a collaborative setting, this role presents an exceptional opportunity to effect substantial change. Join our esteemed team at Workiva and become an integral part of a flourishing community of frontend experts, where your leadership will directly influence our products and clientele.<div><div><div><div>What You'll Do<ul><li>Lead and execute the frontend TypeScript enablement initiative by developing features, libraries, and tools that improve our internal frameworks</li><li>Establish and codify best practices for TypeScript and React development, ensuring consistency and scalability across teams</li><li>Mentor and guide fellow engineers in TypeScript and React, fostering growth and knowledge sharing across the organization</li><li>Collaborate with engineering and design teams to deliver top-tier solutions that enhance our web applications' user experience and performance</li><li>Elevate the frontend developer experience by improving the scalability, adaptability, and expansiveness of our products</li><li>Contribute to the evolution of Workiva's frontend architecture, including our microfrontend framework and application shell</li><li>Work closely with product teams to ensure seamless integration and deployment of independently developed frontends into a cohesive user experience</li></ul>What You'll NeedMinimum Qualifications<ul><li>2+ years of relevant experience with a Bachelor's Degree or equivalent experience</li></ul>Preferred Qualifications<ul><li>Experience in frontend development with TypeScript and React in a large-scale enterprise environment</li><li>Proven experience building frameworks and developing best practices consumed by other development teams</li><li>Experience with microfrontends or module federation and knowledge of distributed frontend application architectures</li><li>Ability to collaborate and evangelize frontend best practices across multiple independent teams contributing to the same product</li><li>Strong knowledge of frontend web development tools and patterns, with experience in Dart being a plus</li><li>Ability to mentor and guide other developers, with a passion for knowledge sharing and continuous learning</li><li>Excellent communication skills to work with cross-functional teams, including design and backend engineering</li><li>Familiarity with frontend architecture and the challenges of building scalable web applications</li><li>Adaptability and enthusiasm for contributing to evolving technologies and frameworks</li></ul>Physical Requirements and Working Conditions<ul><li>Embrace your inner wanderlust - expect up to 15% travel</li><li>Stay virtually untethered with the power of reliable internet access, enabling you to work remotely from your chosen spot, whether that's your home office or a beachside cafe</li></ul></div></div></div></div>How You'll Be Rewarded Salary range in the US: $111,000.00 - $178,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits packageThe 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.Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email <a target="_blank" href="mailto:talentacquisition@workiva.com">talentacquisition@workiva.com</a>. 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-MJ2</div><div id="sajCpQualifications"><div id="sajCpQualificationsRequired"><h3 class="jobOverviewSubtitle">Required</h3><ul></ul></div><div id="sajCpQualificationsPreferred"><h3 class="jobOverviewSubtitle">Preferred</h3><ul></ul></div></div><div id="sajCpIndustries"><h3 class="jobOverviewSubtitle">Job Industries</h3><ul><li><a id="sajCpSingleIndustryLink" href="https://www.snagajob.com//job-search/q-Other">Other</a></li></ul></div>

The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices. The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva's platform.
The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva's machine learning solutions. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members.
What You'll Do
Design systems to enable rapid ML development, high availability, and clear observability Develop APIs with product teams to access Workiva's ML solutions Deliver, update, maintain machine learning infrastructure Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes Write automated tests (unit, integration, functional, etc) with ML solutions in mind Debug and troubleshoot components across multiple service and application contexts Engage with support teams in triaging and resolving production issues Participate in on-call rotations which include 24x7 support of all of Workiva's SaaS hosted environments Perform Code Reviews within your team's products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements What You'll Need
Minimum requirements
2+ years of relevant experience with a Bachelor's Degree or equivalent experience Preferred Qualifications
4+ years of ML engineering or related experience Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure Familiarity with Generative AI and related development patterns Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub) Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent) Strong programming foundation, including data structures, algorithms, and distributed systems Experience in Agile/Sprint environments and debugging complex systems or applications Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing Excellent communication and organizational skills for managing multiple projects and deliverables Travel Requirements and Working Conditions
Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements How You'll Be Rewarded
Salary range in the US: $111,000.00 - $178,000.00 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.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.
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-MJ2 Required Preferred Job Industries Other

<div id="sajCpTopImage"></div><div id="sajCpCustomDescription">As a Senior Engineering Manager at Workiva, you'll lead the Processes product team, driving the development of innovative solutions that streamline data collection, certification, and automation of task assignment. You'll work closely with stakeholders to shape the future of our core product in Automation and Connectivity (A&C), delivering impactful solutions that address the dynamic needs of our clients. This role provides an exciting opportunity to make a meaningful contribution within a vital area of our platform. What You'll Do Team Leadership and Development<ul><li>Lead and mentor a team of engineers, fostering a collaborative, inclusive and innovative work environment</li><li>Assume responsibility of full-scale people management duties, steering the hiring process, conducting performance evaluations, and fostering talent development initiatives to empower our team members to reach their full potential</li></ul>Strategic Planning and Collaboration<ul><li>Define strategic objectives and establish policies that drive success within the Tasks product team</li><li>Collaborate with cross-functional teams, including engineering teams, product managers, delivery managers, and end-users, to analyze, design, and implement software enhancements and new features, ensuring alignment on application requirements and modifications throughout the process</li></ul>Technical Oversight and Process Improvement<ul><li>Manage the analysis, design, programming, debugging, and modification of software solutions tailored for end-user applications, with a specific focus on B2B SaaS products serving external client-facing needs</li><li>Drive continuous improvement initiatives to optimize processes and enhance productivity of the Tasks product</li></ul>What You'll Need Minimum Qualifications<ul><li>Bachelor's degree with 7+ years of related experience, or equivalent additional experience in lieu of a degree</li><li>Direct people management experience, including supervisory experience of entry-level managers and/or established individual contributors</li></ul>Preferred Qualifications<ul><li>People-focused manager with empathy, trustworthiness, and a collaborative mindset</li><li>Some expertise or familiarity in working with workflow or automation systems is desired</li><li>Architectural expertise, understanding of UI/UX principles, and a passion for driving technical innovation</li><li>Strong technical background with experience in technologies such as Python, Java, React, and Dart</li><li>Experience in SaaS B2B environments</li><li>Ability to navigate through numerous stakeholders, juggling competing demands while effectively balancing priorities</li><li>Demonstrated ability to effectively communicate and collaborate with diverse stakeholders, including engineering teams, delivery teams, and executive leadership</li></ul>Travel Requirements & Working Conditions<ul><li>A reliable internet connection serves as the conduit for brilliance, enabling the unleashing of talents from the comfort of virtually anywhere</li><li>Typically no more than 10% travel for Workiva's Internal Developer Conference and team jams</li></ul>How You'll Be Rewarded Salary range in the US: $142,000.00 - $241,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits packageThe 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.Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email <a target="_blank" href="mailto:talentacquisition@workiva.com">talentacquisition@workiva.com</a>. 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-TM1</div><div id="sajCpQualifications"><div id="sajCpQualificationsRequired"><h3 class="jobOverviewSubtitle">Required</h3><ul></ul></div><div id="sajCpQualificationsPreferred"><h3 class="jobOverviewSubtitle">Preferred</h3><ul></ul></div></div><div id="sajCpIndustries"><h3 class="jobOverviewSubtitle">Job Industries</h3><ul><li><a id="sajCpSingleIndustryLink" href="https://www.snagajob.com//job-search/q-Other">Other</a></li></ul></div>

<div id="sajCpTopImage"></div><div id="sajCpCustomDescription">The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices. The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva's platform.The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva's machine learning solutions. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members.What You'll Do<ul><li>Design systems to enable rapid ML development, high availability, and clear observability</li><li>Develop APIs with product teams to access Workiva's ML solutions</li><li>Deliver, update, maintain machine learning infrastructure</li><li>Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes</li><li>Write automated tests (unit, integration, functional, etc) with ML solutions in mind</li><li>Debug and troubleshoot components across multiple service and application contexts</li><li>Engage with support teams in triaging and resolving production issues</li><li>Participate in on-call rotations which include 24x7 support of all of Workiva's SaaS hosted environments</li><li>Perform Code Reviews within your team's products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate</li><li>Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements</li></ul>What You'll NeedMinimum requirements<ul><li>2+ years of relevant experience with a Bachelor's Degree or equivalent experience</li></ul>Preferred Qualifications<ul><li>4+ years of ML engineering or related experience</li><li>Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems</li><li>Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure</li><li>Familiarity with Generative AI and related development patterns</li><li>Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub)</li><li>Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent)</li><li>Strong programming foundation, including data structures, algorithms, and distributed systems</li><li>Experience in Agile/Sprint environments and debugging complex systems or applications</li><li>Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing</li><li>Excellent communication and organizational skills for managing multiple projects and deliverables</li></ul>Travel Requirements and Working Conditions<ul><li>Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests</li><li>Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements</li></ul>How You'll Be Rewarded Salary range in the US: $111,000.00 - $178,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits packageThe 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.Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email <a target="_blank" href="mailto:talentacquisition@workiva.com">talentacquisition@workiva.com</a>. 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-MJ2</div><div id="sajCpQualifications"><div id="sajCpQualificationsRequired"><h3 class="jobOverviewSubtitle">Required</h3><ul></ul></div><div id="sajCpQualificationsPreferred"><h3 class="jobOverviewSubtitle">Preferred</h3><ul></ul></div></div><div id="sajCpIndustries"><h3 class="jobOverviewSubtitle">Job Industries</h3><ul><li><a id="sajCpSingleIndustryLink" href="https://www.snagajob.com//job-search/q-Other">Other</a></li></ul></div>

The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices. The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva's platform.
The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva's machine learning solutions. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members.
What You'll Do
Design systems to enable rapid ML development, high availability, and clear observability Develop APIs with product teams to access Workiva's ML solutions Deliver, update, maintain machine learning infrastructure Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes Write automated tests (unit, integration, functional, etc) with ML solutions in mind Debug and troubleshoot components across multiple service and application contexts Engage with support teams in triaging and resolving production issues Participate in on-call rotations which include 24x7 support of all of Workiva's SaaS hosted environments Perform Code Reviews within your team's products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements What You'll Need
Minimum requirements
2+ years of relevant experience with a Bachelor's Degree or equivalent experience Preferred Qualifications
4+ years of ML engineering or related experience Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure Familiarity with Generative AI and related development patterns Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub) Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent) Strong programming foundation, including data structures, algorithms, and distributed systems Experience in Agile/Sprint environments and debugging complex systems or applications Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing Excellent communication and organizational skills for managing multiple projects and deliverables Travel Requirements and Working Conditions
Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements How You'll Be Rewarded
Salary range in the US: $111,000.00 - $178,000.00 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.
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply.
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.
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The Senior Machine Learning Engineer is responsible for delivering innovative machine learning (ML) solutions across Workiva using MLOps and software engineering best practices. The Senior ML Engineer will own and deliver projects to develop ML features that require creative problem-solving such as integrating Gen AI into Workiva's platform. The role also develops tools, systems, infrastructure, and automation to help develop, monitor, and manage Workiva's machine learning solutions. The Senior ML Engineer analyzes issues that prevent availability or scaling and derives solutions that provide long-term stability. They will apply domain expertise and ownership in the Machine Learning space while providing guidance to team members. What You'll Do <ul> <li>Design systems to enable rapid ML development, high availability, and clear observability </li> <li>Develop APIs with product teams to access Workiva's ML solutions </li> <li>Deliver, update, maintain machine learning infrastructure </li> <li>Be a technical leader on the ML team, mentoring less experienced ML engineers and scientists along with defining team best practices and processes </li> <li>Write automated tests (unit, integration, functional, etc) with ML solutions in mind </li> <li>Debug and troubleshoot components across multiple service and application contexts </li> <li>Engage with support teams in triaging and resolving production issues </li> <li>Participate in on-call rotations which include 24x7 support of all of Workiva's SaaS hosted environments </li> <li>Perform Code Reviews within your team's products, components, and solutions; involve external stakeholders (Ex. Security, Architecture) where appropriate </li> <li>Collaborate with software, data architects and product managers to deliver complete software products that can be leveraged to meet a broad range of customer needs and requirements </li> </ul>What You'll Need Minimum requirements <ul> <li>2+ years of relevant experience with a Bachelor's Degree or equivalent experience </li> </ul>Preferred Qualifications <ul> <li>4+ years of ML engineering or related experience </li> <li>Proficiency in the ML development cycle, toolsets, and applying ML solutions to problems </li> <li>Experience with model deployment, data pipelines, CI/CD pipelines, and infrastructure </li> <li>Familiarity with Generative AI and related development patterns </li> <li>Proficient in Python, GO, Java, or similar languages, with source control systems (e.g., GitHub) </li> <li>Experience with Docker, Kubernetes (preferred), and cloud services (AWS or equivalent) </li> <li>Strong programming foundation, including data structures, algorithms, and distributed systems </li> <li>Experience in Agile/Sprint environments and debugging complex systems or applications </li> <li>Knowledge of HTTP/web protocols, databases, performance tuning, and production-level testing </li> <li>Excellent communication and organizational skills for managing multiple projects and deliverables </li> </ul>Travel Requirements and Working Conditions <ul> <li>Willingness to travel up to 15% for team and corporate meetings, fostering relationships and representing company interests </li> <li>Reliable internet access for any period of time working remotely, as we embrace flexible work arrangements </li> </ul>How You'll Be Rewarded Salary range in the US: $111,000.00 - $178,000.00 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. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. 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.We strongly encourage and welcome people from historically marginalized groups to apply. 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-MJ2

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