Codility

• Support technical sales conversations where needed, including discovery, demos, proof-of-concept discussions, technical validation, and implementation planning. • Act as a trusted technical advisor to customers - confident discussing programming concepts, assessment configuration, integrations, and engineering hiring workflows. • Proactively engage with strategic customers after purchase to help manage their integration of Codility and ensure they are set up for long-term success. • Co-design and configure technical assessments with customers, advising on task selection, language coverage, difficulty calibration, and role-appropriate benchmarking. • Lead technical workshops and enablement sessions with engineering, talent, and operations teams to drive adoption and improve customer confidence in the platform. • Review platform usage, assessment results, and customer data to identify risks, blockers, and opportunities for improvement. • Help customers understand whether their assessments are producing useful signal, and guide them toward more effective, scalable use of the platform. • Own routine technical conversations independently, involving Product, Engineering, or specialist internal teams when advanced scenarios arise. • Partner closely with Account Managers and Customer Success Managers on renewal strategy, expansion opportunities, and long-term account health from a technical perspective. • Ensure customers are well informed about new product releases, technical capabilities, and best practices. • Collaborate with Product and Engineering to advocate for customer needs, surface technical blockers, and track enhancements. • Stay close to how AI is changing software engineering and technical assessment, and help customers think through what this means for their hiring processes. • Serve as the technical voice of the customer internally, championing improvements across product, content, and customer experience.

• Support technical sales conversations where needed, including discovery, demos, proof-of-concept discussions, technical validation, and implementation planning. • Act as a trusted technical advisor to customers - confident discussing programming concepts, assessment configuration, integrations, and engineering hiring workflows. • Proactively engage with strategic customers after purchase to help manage their integration of Codility and ensure they are set up for long-term success. • Co-design and configure technical assessments with customers, advising on task selection, language coverage, difficulty calibration, and role-appropriate benchmarking. • Lead technical workshops and enablement sessions with engineering, talent, and operations teams to drive adoption and improve customer confidence in the platform. • Review platform usage, assessment results, and customer data to identify risks, blockers, and opportunities for improvement. • Help customers understand whether their assessments are producing useful signal, and guide them toward more effective, scalable use of the platform. • Own routine technical conversations independently, involving Product, Engineering, or specialist internal teams when advanced scenarios arise. • Partner closely with Account Managers and Customer Success Managers on renewal strategy, expansion opportunities, and long-term account health from a technical perspective. • Ensure customers are well informed about new product releases, technical capabilities, and best practices. • Collaborate with Product and Engineering to advocate for customer needs, surface technical blockers, and track enhancements. • Stay close to how AI is changing software engineering and technical assessment, and help customers think through what this means for their hiring processes. • Serve as the technical voice of the customer internally, championing improvements across product, content, and customer experience.

• Drive the end-to-end design process: Take ownership of design from conceptualization to implementation, ensuring a user-centered approach at every stage. Use AI tools to move faster through exploration, divergence, and iteration without compromising quality. • Design AI-powered experiences: Help define how AI capabilities surface in our products, designing for trust, transparency, and usefulness in features powered by models and agents. Develop strong intuition for what AI does well, where it fails, and how to design for both. • Prototype with AI: Use AI-assisted prototyping and code-generation tools to produce realistic, testable prototypes quickly, shortening the path from idea to validated learning. • Contribute to the design system: Work with our design system to ensure consistency while helping to improve and expand our component library, including patterns for AI-driven interactions. Serve as a primary domain expert in Codility product design. Foster a collaborative and inclusive design culture by providing feedback, coaching, guidance, and mentorship to other designers, including how to use AI tools well. • Conduct design reviews and iterate: Facilitate design reviews and gather feedback from the team, incorporating their insights to refine and iterate on design solutions. • Conduct user research and gather insights: Run research activities such as interviews, surveys, and usability tests to deeply understand user needs, pain points, and behavior. Use AI to help synthesize research, surface patterns, and turn findings into actionable design improvements, while keeping a critical eye on what the models miss. • Create intuitive and visually appealing designs: Apply your expertise in interaction design, information architecture, and visual design to create intuitive, engaging interfaces. Produce high-fidelity wireframes, prototypes, and specifications that clearly communicate your concepts. • Collaborate with cross-functional teams: Work within an autonomous team led by a product trio (designer, product manager, and engineering manager) to ensure seamless collaboration and effective execution. • Communicate with clarity: Articulate design concepts and rationale clearly in writing and verbally. Write strong UX copy in English, and use AI thoughtfully to draft, refine, and pressure-test that copy.

• Own pipeline at the company redefining how engineering teams hire in the AI era • The company-wide pipeline number across inbound, outbound, and expansion, and the unit economics behind it • Full-funnel demand programs: website and traffic, paid media across search and LinkedIn, SEO, ABM, retargeting, re-engaging past customers, and events from high-touch executive gatherings to industry conferences and speaking slots • Answer engine optimization (AEO) as an emerging channel you build and own as buyers shift to AI-assisted research • The agencies, contractors, and consultancies we work with, managed to deliver outcomes • The MarTech stack, the attribution with RevOps, and clear reporting on pipeline, channel performance, and ROI • A fast test-and-learn engine: generate ideas, run experiments, kill what does not work, and scale what does • A close partnership with sales and product marketing in one revenue team, aligning campaigns to target accounts, ICP, messaging, and revenue priorities

• Manage our small but great team of CSMs, leading from the front, helping define great process and demonstrating best practice. • Personally manage a portfolio of strategic customer accounts, building trusted relationships with key decision-makers and stakeholders across Talent, People, Engineering and Executive teams. • Own the post-sales customer lifecycle, including onboarding, deployment planning, adoption, change management, business reviews, renewal preparation and expansion support. • Build clear success plans for customers, defining goals, success metrics, stakeholder maps, adoption milestones and actions required to achieve measurable value. • Increase customer retention and satisfaction by running regular check-ins, identifying risks early, resolving blockers, and ensuring customers see clear return on investment. • Partner closely with Sales to identify growth opportunities, map accounts, strengthen executive relationships, and prepare for renewals well in advance. • Work closely with Solutions Engineering, Product and Support to resolve customer issues, improve adoption, and ensure customer feedback is translated into meaningful internal action. • Act as the voice of the customer, sharing structured feedback on how Codility can better serve enterprise customers and engineering-led organisations. • Help bring more structure to the Customer Success team by improving account planning, QBR quality, renewal discipline, health scoring, customer segmentation, playbooks and internal ways of working. • Coach and support other CSMs by sharing best practices, helping with complex accounts, and raising the overall quality and consistency of customer success across the team. • Use AI thoughtfully in your own work to improve productivity, analyse customer data, prepare for customer conversations, scale customer insight and improve team processes.

• Lead and develop Codility’s Solutions Engineering function, setting the standard for how we support customers technically across pre-sales, implementation, adoption, and expansion. • Act as a hands-on technical leader for strategic enterprise accounts, leading customer implementations through to success. • Support complex technical sales conversations, including discovery, demos, proof-of-concept discussions, technical validation, security or integration questions, and implementation planning. • Coach and support Solutions Engineers in running effective discovery, delivering strong demos, managing technical objections, and driving customer confidence in Codility. • Coach and support Solutions Engineers Managing accounts post sales through integration and delivery. • Co-design and configure technical assessments with customers, advising on task selection, language coverage, difficulty calibration, and role-appropriate benchmarking. • Lead technical workshops and enablement sessions with engineering, talent, and operations teams to drive adoption and improve customer confidence in the platform. • Review platform usage, assessment results, and customer data to identify risks, blockers, and opportunities for improvement. • Help customers understand whether their assessments are producing useful signal and guide them toward more effective, scalable use of the platform. • Partner closely with Sales, Account Management, and Customer Success on renewal strategy, expansion opportunities and long-term account health from a technical perspective. • Build strong internal feedback loops so that customer insight from the field informs product, content, implementation, and customer experience decisions. • Stay close to how AI is changing software engineering and technical assessment, and help customers think through what this means for their hiring processes.

• Identify and develop high-value partnerships across the talent acquisition and HR technology ecosystem, including with partners who can create access to enterprise organisations and generate qualified commercial opportunities. • Build relationships with RPOs, assessment providers, ATS providers, HRIS platforms, recruitment technology companies and relevant consulting or advisory partners. • You will both source new relationships and expand and evolve the significant relationships that we already have. • Navigate large partner organizations to find the right stakeholders beyond the formal partnerships team. • Create and progress partner opportunities from first conversation through to leads, pipeline, and revenue. • Develop referral, reseller, integration and strategic partnership opportunities. • Work closely with commercial, product and technical teams to understand partner fit, integration requirements and go-to-market opportunities. • Help build the internal processes behind partnerships, including lead allocation, tracking, partner enablement, remuneration and reporting. • Maintain deep, long-term relationships with a focused group of high-value partners.

Role Description Codility is at the forefront of helping organisations navigate the rapidly evolving technology landscape. With the rise of AI, ensuring accurate candidate assessment and skill validation is more critical than ever. Our mission is to empower companies to hire the best technical talent, providing a robust assessment platform grounded in evidence, not gut feel. We’re looking for an Assessment Strategy Manager to join our post-sales Customer Success team. In this role, you’ll partner with enterprise customers to design, optimise, and embed effective technical assessment strategies, drawing on your background in IO psychology or occupational assessment to deliver real hiring impact. If you excel at translating science into practice, building trusted advisory relationships, and helping organisations move from reactive hiring to structured, evidence-based evaluation, we want to hear from you. Qualifications - Background in IO psychology, psychometrics, occupational assessment, or a related discipline. - Experience in a customer-facing advisory or consulting capacity. - Minimum of 3+ years in a customer-facing role within a B2B SaaS, HR tech, or assessment environment. - Proven experience managing enterprise accounts with complex, global stakeholder structures. - Strong analytical skills, with the ability to interpret usage and outcomes data. - Excellent written and verbal communication skills. - Highly organised, with strong time-management skills. - Solutions-oriented, demonstrating ownership and proactive problem-solving. - Experienced in influencing retention, identifying expansion opportunities, and driving measurable customer outcomes. - Familiarity with adverse impact analysis, bias considerations, or regulatory contexts in hiring is a plus. - Experience in technical hiring, developer tooling, or engineering-focused organisations is a plus. Requirements - Manage the post-sales customer lifecycle for a portfolio of enterprise accounts, focusing on retention, expansion, and long-term partnership. - Act as a trusted advisor on assessment strategy, helping customers design, configure, and continuously improve their technical hiring processes. - Co-design assessment frameworks with customers, advising on task selection, difficulty calibration, and role-appropriate benchmarking. - Conduct quarterly business reviews, showcasing hiring impact, platform value, and opportunities for deeper engagement. - Proactively track platform adoption and assessment utilisation, identifying risks and areas for intervention. - Use data and customer insight to guide customers toward more structured, scalable, and defensible hiring practices. - Ensure customers are well informed about new platform capabilities, assessment content updates, and industry best practices. - Partner closely with Account Managers on renewal strategy and expansion opportunities. - Collaborate with Product and Analytics to advocate for customer needs and feed structured insight back into the roadmap. - Deliver enablement sessions, workshops, and training to drive adoption across global hiring teams. - Serve as the voice of the customer internally, championing improvements across product, content, and customer experience. Company Description

Location: Remote (US / Europe) Company Description At Codility, we empower companies to assess, manage, and develop engineering teams more effectively. Our platform enables organizations to evaluate candidates based on the technical skills that matter, fostering better hiring decisions and empowering engineers to tackle the world’s biggest challenges. Over the past decade, we've assessed the skills of over 12 million candidates and helped thousands of engineering leaders build high-performing, diverse teams. Role Overview Help unlock the world’s engineering potential by shaping how companies evaluate and hire technical talent. This role sits at the center of customer impact and product innovation. As an Assessment Scientist you will guide enterprise organizations toward better, fairer hiring decisions while helping Codility embed assessment science directly into our platform. We are looking for someone that can work at the intersection of I/O psychology, AI, and engineering to build the next generation of skills-based hiring. What You’ll Do - Partner with enterprise customers to design and implement skills-based assessment strategies that improve hiring outcomes, retention, and candidate experience. - Act as a trusted advisor on job analysis, assessment design, candidate communication, and fair hiring practices. - Translate complex assessment science concepts into clear, actionable recommendations for business stakeholders. - Conduct job analyses and define success profiles for technical roles. - Design and execute validation studies (content and criterion-related) to ensure assessments are predictive and defensible. - Apply AI/LLM tools to enhance assessment design, candidate evaluation, and insight generation. - Use AI pragmatically to scale workflows (e.g., job analysis augmentation, content generation, scoring support) while maintaining scientific rigor and fairness. - Produce clear, defensible technical documentation for customer and internal use. - Analyze assessment and platform data to generate actionable insights that improve test performance and customer outcomes. - Use both statistical methods and AI-assisted analysis to optimize hiring processes. - Build & Innovate - Collaborate with Product, Engineering, and AI teams to embed assessment science best practices into Codility’s platform. - Contribute to AI-driven assessment capabilities and scalable, productized solutions. What You’ll Bring: - M.A./M.S. in Industrial/Organizational Psychology, Occupational Psychology, or a related field with 3–4+ years of applied experience, or a Ph.D. with 1-2+ years of applied experience. - Experience in at least one of the following areas: employee selection, talent assessment and validation, or Learning & Development (L&D), including skills frameworks or competency modeling. - Demonstrated ability to use AI tools in applied workflows, including using LLMs (e.g., ChatGPT, Claude) to support analysis, content creation, or decision-making. Ability to evaluate AI outputs critically and ensure they meet quality, fairness, and professional standards. Interest in applying AI to scale assessment science in a product environment. - Strong foundation in job analysis, validation methods (content and criterion-related), and adverse impact analysis. - Working knowledge of employment guidelines and regulations (e.g., Uniform Guidelines). - Experience using statistical tools (e.g., R or Python) and survey methodologies. - Ability to work directly with customers and communicate complex concepts clearly to non-technical audiences. - Strong ownership mindset with the ability to manage projects and operate effectively in a fast-paced, cross-functional SaaS environment. Nice to have - Experience working with technical roles (e.g., engineering, data, IT), including designing or evaluating technical or work-sample assessments. - Experience working in a SaaS or technology company, especially in cross-functional teams with Product and Engineering. - Experience in a consulting or client-facing role advising enterprise stakeholders on talent, assessment, or workforce strategy. - Experience translating assessment science into scalable, productized solutions - Experience applying AI/LLMs in practical workflows, such as content generation, analysis, or evaluation in a business or product setting. - Experience creating thought leadership or external content, such as white papers, webinars, or conference presentations. Why Codility? - Work on cutting-edge products that are reshaping how companies build and manage engineering teams, alongside a diverse, inclusive team that values equity and collaboration. - While we are remote-first, we understand that bringing teams together matters. Once a year, the entire company meets in person to connect, and each function holds an annual off-site to invest in team building, strategy, and a bit of fun. - We work hard to create and optimize healthcare packages for the diversity of families we have at Codility. We believe everyone should have access to quality healthcare, and we make sure this is equitable across all our countries. - Your physical, mental, and financial well-being are important to thriving at work and in life. We provide a monthly budget for well-being-related expenses such as gym memberships and financial advisors. - Resting and recharging are critical to sustaining high performance. All Codility employees receive 27 days of PTO, four mental health days, and local holidays. - You'll also benefit from competitive compensation, including salary, perks, and equity.