\nWhy Valence\nValenceโs mission is to help the world work better, together with our first-to-market gen AI leadership and team coaching platform for F500 enterprises. We are only looking for high performing, driven, curious, and high ownership professionals to come join us in the next phase of building Valence. \n\n\nPioneered Gen-AI Coaching: Launched our groundbreaking AI product to market in just 2 months, swiftly concluding our beta in 8 weeks. We're ahead and accelerating.\nUnmatched B2B Speed: Sealed our first AI enterprise deal in 60 days, outpacing the standard 9-month cycle. The elite queue up for us.\nMasters in Enterprise SaaS Sales: Our tools were a staple in F500s like ExxonMobil and Coca Cola before we even completed venture funding. We set the standard.\nHumanizing AI Like No Other: Our AI coach offers unparalleled, intimate interactions that nurture growth at work. Weโre a trusted, human-like partner to our users.\nHyper-Growth Innovators: We excel in rapid, experimental progress, learning and evolving faster than anyone else.\nElite Problem-Solvers: Our team, drawn from the top 1% with backgrounds in McKinsey and Bridgewater, tackles the toughest problems.\n\n\nFeatured in the Harvard Business Review (as โShiftโ) and supported by world-class thinkers and leaders like Prasad Setty (Google) and William McNabb (Vanguard). \n\n\nThe Role\nWe are seeking a Senior Software Engineer for our LLM-powered coaching product that serves F500 enterprises. In this role you will actively build this 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 this new product.\n\n\nLocation and Work Environment\nThis is a primarily remote, work-from-home role with quarterly travel for team gatherings as able. Candidates must be comfortable balancing clients and colleagues in global timezones, as needed. Candidates must have valid ID/passports and must not have any restrictions on their travel abilities due to work authorization or permits.\n\n\n\nWhat You'll Do\n* Work with the product team to understand and prioritize evolving requirements.\n* Writing, reviewing, and deploying code.\n* Contribute to the technical roadmap, including architecture and development infrastructure.\n* Contribute to the product being scalable and maintainable.\n* Support managing and and breaking down large product and technical e๏ฌorts.\n\n\n* 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.\n\n\nIn The First Week, Expect To:\n* Deploy a feature.\n* Get up to speed on the product and the team.\n* Meet with the broader team and understand their roles and responsibilities.\n* Understand the technical architecture and roadmap.\n\n\nIn The First Month, Expect To:\n* Ship 1-2 major product features or technical enhancements.\n* Review the current engineering work and provide inputs on areas for improvement or prioritization.\n\n\n* Ship an LLM-powered coaching scenario.\n\n\nIn The First Three Months, Expect To:\n* Strategize and scope on multiple on large technical projects.\n* Drive improvements to our codebase and process to quickly build secure, maintainable software.\n* Ensure that all code is of high quality and is easily maintainable.\n\n\nIn The First 6-12 Months, Expect To:\n* Continue shipping work on major product initiatives.\n* Support the broader technical team and ensure that all work is executed e๏ฌciently and e๏ฌectively\n* Become a critical member of the team that is responsible for the success of the product.\n* Take on additional responsibility as a senior member of Valenceโs team.\n* Take the product to scale with dozens of Fortune 1000 companies and thousands of users.\n\n\n\nWhat Weโre Looking For\n* Experience working with Python and Django\n* Experience working with AWS infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.) and Heroku\n* Experience with LLMs and ML/data is a plus\n\n\n* Experience managing and executing on large technical endeavors.\n* Experience owning a technical architecture and roadmap.\n* Exposure to early-stage startups, preferably B2B Saas.\n\n\n\nWhat you'll get\n* Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment.\n* Frequent, tailored coaching and feedback sessions with managers deeply invested in your professional growth.\n* Strong ties to the executive team, a culture of transparency and engagement with strategic decisions.\n* Options from day one, which means you will be on the ownership track right away.\n* Competitive salary and equity packages.\n* Comprehensive health coverage (medical, dental, and vision) from day 1.\n* Virtual doctor and mental health services from day 1.\n* Provision of anything you need to be successful - learning tools, hardware, office equipment, software.\n* Generous PTO, company-wide R&R shutdowns and paid leave for parents. \n* A WFH stipend, phone stipend and merch merch merch. \n\n\n\n\n\nDiversity Equity and Inclusion\nWe 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 donโt hesitate to reach out - Allison Langille, Head of People
[email protected]. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to SaaS, Python, Senior and Engineer jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n
\n\n#Location\nNew York