Software Engineer
Valence
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Posted 6+ months ago
Valence has built the first-to-market AI native 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. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.
The Role
We are seeking a Software Engineer for our LLM-powered coaching product that serves Fortune 500 enterprises. In this role you will actively build a gen-AI product, support the technical architecture and roadmap, and work on a nimble, product-focused team that is bringing a revolutionary new enterprise product to market. You will report to the Technical Lead, and indirectly to the CEO, who is the product visionary for the AI Coach, Nadia.
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
- Work with the product team to understand and prioritize evolving requirements.
- Writing, reviewing, and deploying code.
- Contribute to the technical roadmap, including architecture and development infrastructure.
- Contribute to the product being scalable and maintainable.
- Support managing and and breaking down large product and technical efforts.
- 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.
What We’re Looking For
- Experience working with Python and Django.
- Experience working with AWS infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.) and Heroku.
- Experience with LLMs and ML/data is a plus.
- Experience managing and executing on large technical endeavours.
- Experience owning a technical architecture and roadmap.
- Exposure to early-stage startups, preferably B2B Saas.
What you'll get
- Ownership of projects and strategic priorities regardless of seniority.
- Strong ties to the executive team, a culture of transparency and engagement with strategic decisions.
- Options from day one, which means you will be on the ownership track right away.
- Competitive salary and equity packages.
- Comprehensive health coverage (medical, dental, and vision) from day 1.
- Provision of anything you need to be successful - learning tools, hardware, office equipment, software.
- 401k optionality 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 We Work or other space as preferred.
Location and Work Environment
If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions 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.
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This job is no longer accepting applications
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