Why Valence

Valence is a Series A (Insight Partners) B2B SaaS, and we've built the first-to-market generative AI leadership coach for large enterprises. Valence's mission is to help the world work better together.

Our team, drawn from multidisciplinary backgrounds and top firms like McKinsey and Bridgewater, tackles the toughest problems facing leaders today by leveraging cutting-edge LLM-driven technology. We're at the forefront of changing how learning and development happens at the world's biggest companies.

We've been featured in the Harvard Business Review and are working with world-class companies like Coca-Cola, Nestlé, ServiceNow, AstraZeneca, Experian, Bristol Myers Squibb, and more.

The Role

Valence is augmenting advanced LLM technology with bespoke prompting processes to generate relevant and high quality AI Coaching experiences for users. This role will be employing various methods to methodically uncover and catalog the most effective strategies for prompting the LLM to iteratively improve the quality of coaching that Valence can deliver through Nadia, the LLM powered coach. We seek an engineering, computer or data science graduate who is deeply interested in LLM and prompting technology to work alongside our Prompting and Product leaders to deeply improve our AI product.

Please kindly note that this is not an entry level position.

Location and Work Environment

Candidate must be based in EST or PST, and this is a remote-friendly role. We get together at least quarterly to co-work. Candidates must not have any restrictions on their North American travel. We are a globally distributed team.

What You'll Do

Write, test and iterate on prompts to achieve specific conversational outcomes as directed by the Product Team.

Evaluate the quality and efficacy of prompts based on user feedback and KPIs.

Build and maintain a library of high quality prompts or prompt chains.

Operationalize the prompting function through processes and systems appropriate for Valence's growth

Maintain a continuous feedback loop with users, coaches to gather insights into prompt effectiveness.

Contribute to machine learning and large language model (LLM) pipelines and APIs, including OpenAI (GPT-3.5 and GPT-4), Azure (OpenAI), Anthropic (Claude), and others.

Anything else related to prompting that we think will rapidly accelerate our product.

What We're Looking For

2-5 years of experience in a professionally challenging environment like top tier consulting or a high-growth AI startup.

Data science, computer science, ML Engineering or other technical background. Experience with Python, SQL are preferred.

Significant experience using LLMs, prompting, ML in a personal or professional setting. You are deeply passionate about this technology.

Deeply systematic approach to thinking and work streams.

Strong problem solving mindset to build net new prompting approaches.

Highly collaborative and conversant with peers and executives.

Comfortable with direct feedback, debate and discussion to drive a cutting-edge technological approach forward.

Energized doing repetitive and detail oriented work as part of a bigger strategic picture.

Additional Information

Diversity Equity and Inclusion

We are committed to fostering a diverse and inclusive environment where our team members, vendors, contractors and beyond feel valued and supported. We know that our commitment to inclusion and belonging enables us to do our best work overall. We strongly encourage applications from candidates of all backgrounds regardless of race, gender, sexual orientation, marital status, age, citizenship, disability, and national origin. Accommodations are available upon request for candidates taking part in all aspects of the hiring and selection process. We know applying for a job can be intimidating, please don’t hesitate to reach out - Allison Langille, Head of People [email protected].

valence

Prompt Engineer & Librarian