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- Tasks: Lead technical enablement and inspire developers in the scientific data and AI space.
- Company: Join TetraScience, a leader in Scientific Data and AI innovation.
- Benefits: Enjoy competitive salary, equity, generous PTO, and flexible remote work options.
- Why this job: Shape the future of scientific data and empower developers to innovate.
- Qualifications: Experience in life sciences, data science, and technical enablement required.
- Other info: Collaborative culture focused on continuous improvement and growth.
The predicted salary is between 48000 - 72000 £ per year.
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We are the category leader in this vital new market.
In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.
If you join us, you will be expected to embody its contents each day.
TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies.
You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including sales teams, technical teams, customers and potential customers.
Your expertise covers the technical aspects of data integration, storage, access and architectures, as well as the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions.
Your work will directly impact how developers adopt TetraScience's Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You'll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs.
Responsibilities:
- Serve as a "Sciborg" on the Technical Enablement team, engaging internal and external stakeholders in deeply technical and scientific dialogues to improve customer product relevance, market fit, and customer success.
- Work with data scientists, lab scientists and lab managers to understand and define the workflow needed to solve their problems.
- Translate this knowledge into solutions using TetraScience's Scientific Data & AI.
- Educate and evangelize all internal and external stakeholders around use cases and the technology that enables them.
- Prepare internal business analysts, solution architects, technical architects, data architects, data engineers with scientific context, literature, and technical best practices.
- Drive the creation of technical resources, best practices, and self-service tools that help developers succeed in building on TetraScience's Scientific Data & AI.
- Design and deliver compelling presentations and demonstrations to both small and large audiences.
- Design and execute workshops, hackathons, webinars, and events to educate and engage the developer community.
- Produce technical blogs, tutorials, sample code, and other content to showcase capabilities and best practices.
- Collaborate with Product and Engineering to translate business/user requirements and feedback into actionable product requirements for development teams.
- Collaborate with UX/UI designers and advocate for developers to ensure the product interface is user-friendly.
Must Have:
- 2+ years professional experience in a Life Sciences company and/or a scientific background.
- 3+ years professional experience as data scientist, scientific data engineer, or solutions architect.
- 2+ years professional experience in technical enablement and/or developer relations.
- Solid experience running large scale enablement programs.
- Exceptional communication, storytelling, and presentation skills.
- Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies.
- Deep understanding of drug discovery, development, and manufacturing processes.
- Ability to travel regularly to customer locations.
- Exceptional stakeholder management skills.
- Insatiable curiosity to learn, develop, and grow year-over-year.
Nice To Have:
- Experience at high-growth SaaS companies with complex data needs.
- Previous experience as a practicing bench scientist.
- Background in technical support / field service.
- Familiarity with enterprise sales process within the pharmaceutical sector.
Benefits:
- Competitive Salary and equity in a fast-growing company.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off (PTO).
- Flexible working arrangements - Remote work.
Lead, Technical Enablement in Manchester employer: TetraScience, Inc.
Contact Detail:
TetraScience, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead, Technical Enablement in Manchester
✨Tip Number 1
Get to know TetraScience inside out! Familiarise yourself with the Tetra Way letter and understand their values. This will not only help you align your approach but also show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Reach out to current employees on LinkedIn or attend industry events where TetraScience is present. Building connections can give you insights into the company culture and might even lead to a referral!
✨Tip Number 3
Prepare for those interviews by practising your storytelling skills. Be ready to share your experiences in technical enablement and how you've made an impact in previous roles. Remember, they want to see your passion for Data and AI technologies!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the TetraScience team and ready to contribute to their mission.
We think you need these skills to ace Lead, Technical Enablement in Manchester
Some tips for your application 🫡
Know the Tetra Way: Before you dive into your application, make sure to read the Tetra Way letter. It’s a key document that gives you insight into our values and ethos. Reflect on how your own values align with ours – it’ll help you stand out!
Tailor Your Application: When writing your application, don’t just send a generic CV and cover letter. Tailor them to highlight your experience in technical enablement and your passion for Data and AI technologies. Show us why you’re the perfect fit for this role!
Showcase Your Communication Skills: Since this role involves engaging with various stakeholders, make sure your application reflects your exceptional communication skills. Use clear and concise language, and don’t shy away from showcasing your storytelling abilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re serious about joining the TetraScience team!
How to prepare for a job interview at TetraScience, Inc.
✨Know the Tetra Way
Before your interview, make sure to read and understand the Tetra Way letter. This document is crucial for aligning with the company's values and ethos, so reflect on how your own principles match up with theirs.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data management in a scientific context. Bring examples of how you've used these skills to solve problems or improve processes, as this will demonstrate your technical expertise.
✨Engage with Stakeholders
Think about how you would approach engaging with different user personas like data scientists and lab managers. Prepare to share strategies on how you would translate complex technical concepts into relatable solutions for them.
✨Prepare for Storytelling
Practice your storytelling skills! You’ll need to convey technical information compellingly, so prepare anecdotes that illustrate your past successes in technical enablement and how you’ve inspired others in the field.
