Valence has built the first-ever, first-to-market AI coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it.
From your first interaction with us, you'll notice we're different. We're not just offering a job; we're inviting you to be part of a revolution in the traditionally static space of corporate learning and development.
At Valence, you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of AI. And we'll be honest – this is not for everyone. But for those with an insatiable curiosity, a passion for innovation, and a desire to transform how businesses approach leadership, this could be the career-defining opportunity you've been waiting for.
The future of leadership development is waiting, and we want you to help shape it.
The Role
As a Data Scientist on the Product team at Valence, you'll establish the data-driven product development culture of our AI Coach, reporting into our Head of AI.
Your role will involve creating robust data pipelines, conducting rigorous A/B testing, and applying state-of-the-art Natural Language Understanding (NLU) techniques to extract insights from coaching interactions. Collaborating closely with our engineering, product and leadership team, you'll have a direct impact on shaping our AI coaching platform for Fortune 500 enterprises, combining the excitement of a fast-paced startup with the opportunity to work on transformative AI technology.
About Valence
We're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a Who's Who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Experian, and Bristol Myers Squibb.
What You'll Do
-Embed with the product team as a trusted partner, uncovering new ways to improve our AI coaching platform's performance and user experience
-Develop and maintain data pipelines to process unstructured datasets
-Conduct rigorous A/B testing and statistical analysis to evaluate and optimize our AI models' effectiveness
-Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product questions in a self-serve way
-Apply the latest state-of-the-art machine learning and deep learning techniques to solve challenging problems in natural language understanding and generation
-Collaborate with cross-functional teams to translate data insights into innovative product features
-Implement robust testing and quality assurance processes for our AI models and data pipelines
-Stay at the forefront of AI advancements, particularly in NLP and conversational AI, and propose new applications for our platform
What We're Looking For
-Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
-3+ years of professional experience (or equivalent) in software engineering, data science, AI/ML development. This could include a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field, with a focus on machine learning or NLP.
-Strong programming skills in Python, with extensive experience in data analysis and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
-Hands-on experience working with large language models and natural language processing techniques
-Proficiency and experience with core data technologies (e.g., SQL, Spark)
-Familiarity with cloud platforms (AWS, GCP, or Azure) and their machine learning services
-Strong background in experimental design including relevant math / statistics
-Excellent communication skills with demonstrated ability to translate complex technical concepts for non-technical stakeholders
-Experience navigating highly ambiguous environments
Why Valence
-Ownership of design projects and strategic input from day one in our dynamic, learning-focused environment.
-Direct access to the executive team and a transparent culture that values your input on strategic decisions.
-Competitive salary and equity packages.
-Comprehensive health coverage (medical, dental, and vision) from day 1.
-Provision of tools and resources to ensure your success, including learning tools, hardware, and software.
-401k options for US-based employees.
-Generous PTO, company-wide R&R shutdowns, and paid leave for parents.
-A WFH stipend, phone stipend, and support to work in a WeWork or other preferred workspace.
Location and Work Environment
Candidates based in New York will be given preference for this hybrid role, 3 days a week in office in Union Square. Remote candidates in other major cities in MT or ET will be considered. Candidates must be comfortable balancing colleagues in global timezones, as needed. Candidates must have valid ID/passport and must not have any restrictions on their travel abilities due to work authorization or permits in the US.
Diversity and Inclusion
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.