At a Glance
- Tasks: Lead enablement initiatives for the Solution Engineering team and design impactful training experiences.
- Company: Join Snowflake, a fast-growing tech company redefining how work gets done.
- Benefits: Enjoy a hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous improvement in a fast-paced environment.
- Why this job: Be at the forefront of innovation, shaping the future of enterprise solutions with AI.
- Qualifications: 7+ years in enterprise software, strong technical skills in SQL/Python, and experience in enablement.
The predicted salary is between 70000 - 90000 £ per year.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. Your role isn’t just to execute a function, but to help redefine the future of how work gets done.
Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team in EMEA. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most.
In This Role You Will Get To:
- Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed.
- Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM.
- Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data.
- Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behaviour change, not just completion. This requires technical building skills.
- Act as the connector and translator between Product, Field, Leadership, and the Learner; managing intake, building targeted technical content, measuring whether the field activated on the learning, and aligning to release cadence.
- Establish yourself with SE leadership as a key member of their extended leadership team.
- Scale local enablement to org-wide capability, capturing what's working and packaging it for the rest of the field.
- Collaborate with the Global SE Onboarding team to shape and continuously refine the everboarding program based on the segment's needs.
Required Skills:
- A minimum of 7 years of related experience with a focus on enterprise software, solution engineering, and enablement in the data space.
- Bachelor’s degree.
- Exceptional business, technical, and sales acumen.
- Should have deep technical expertise in skills database OLAP/OLTP, SQL, and/or Python.
- Snowflake experience, SnowPro Core, and/or SnowPro Advanced is a plus.
- Data science or Spark experience is a plus.
- Experienced in designing, building, and delivering enablement programs.
- Ability to lead through influence.
- Ability to establish sponsorship and secure support from a diverse group of internal stakeholders and cross-functional partners to successfully deliver programs.
- Ability to manage competing priorities across multiple projects, while meeting deadlines and producing quality deliverables.
- Highly organized with excellent communication skills (including presentation skills).
- Experience working in a fast-changing environment that requires strategic thinking, resourcefulness, agility, results-oriented decision-making, and commitment to excellence.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
Principal Solutions Engineer Enablement Manager employer: Data Science Jobs UK
At Snowflake, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our hybrid work environment allows for flexibility while empowering employees to take ownership of their roles and drive meaningful change. With a strong focus on professional development and a commitment to leveraging cutting-edge technology, we provide our team members with the tools and support they need to thrive in their careers and make a significant impact in the rapidly evolving data landscape.
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We think this is how you could land Principal Solutions Engineer Enablement Manager
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We think you need these skills to ace Principal Solutions Engineer Enablement Manager
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Data Science Jobs UK.
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How to prepare for a job interview at Data Science Jobs UK
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Data Science Jobs UK uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.