• Lead and Inspire: Mentor others and foster a culture of growth. • Recruit Top Talent: Find and attract the best people. • Market Our Mission: Promote our brand and reach new audiences. • Continuously Learn: Stay updated on personal development and innovative ways of building a solid business roadmap.

• Blend is looking for a Senior Manager who is passionate about People Enablement to own the design, execution, measurement, and continuous improvement of a high-impact development program while helping establish the broader People Development function at Blend. • Design, launch, and continuously improve Blend's flagship AI-first engineering development program. • Create learning journeys that accelerate technical capability, consulting effectiveness, business acumen, people leadership and mentorship, and client readiness. • Develop scalable frameworks that prepare employees and people leaders to succeed in rapidly evolving AI and technology environments. • Create and curate engaging learning content, curriculum, assessments, and development experiences. • Manage multiple workstreams simultaneously while ensuring exceptional quality and stakeholder alignment. • Define success metrics and key performance indicators for all development initiatives. • Use data-driven insights to continuously improve learning experiences and organizational effectiveness. • Partner with People Operations leadership to design and scale onboarding, performance management, leadership development, and career growth programs. • Champion a culture of continuous learning, accountability, innovation, and excellence.

• Own and build the People function across multiple areas including operations and infrastructure, talent acquisition, performance management, compensation, and culture. • Lead talent acquisition efforts, coordinating with hiring managers to scope roles and analyze data for future hiring strategies. • Develop management practices that ensure effective performance reviews and professional development. • Manage compensation frameworks and ensure compliance across jurisdictions. • Foster a positive and inclusive work environment through team events and feedback initiatives. • Act as a People partner to resolve inquiries with empathy and efficiency, advising on sensitive personnel matters. • Hire, develop, and lead the People team as it scales.

Role Description The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. The role entails: - Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad. - Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code. - Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data). - Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services. - “Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value. Qualifications - Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering. - Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation. - Ability to translate business questions to key research objectives. - Ability to identify the best methodology to execute research, synthesize and analyze findings. - Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset. - Willingness to examine the status quo and be resilient in the face of challenges. - Ambition to build tomorrow's AI/Data stack in open source. - An exceptional academic track record from high school and university. - Business level written and spoken English. - Sincere personal motivation aligned with our mission. - International travel 2-4 times a year for company events up to two weeks long. Requirements - Precise, taking care to deliver correctness and clarity. - Reliable, delivering high quality work that builds trust and confidence. - Accessible, collaborating to build products and systems that are usable. - Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills - Experience with Airbyte, Ranger, Superset, Temporal, or Trino. - Basic understanding of containerization technologies such as Docker and Kubernetes. - Agentic Engineering. - Product management. - User experience and design. Benefits - We consider geographical location, experience, and performance in shaping compensation worldwide. - We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. - In addition to base pay, we offer a performance-driven annual bonus or commission. - We provide all team members with additional benefits which reflect our values and ideals. - Distributed work environment with twice-yearly team sprints in person. - Personal learning and development budget of USD 2,000 per year. - Bi-annual compensation review. - Company recognition rewards. - 40 days annual leave per annum, including public holidays and our All Company holiday periods. - Maternity and paternity leave. - Team Member Assistance Program & Wellness Platform. - Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.