СШАBusiness Systems Analyst, New Product Introduction
1 мес. назад
270k–315k USD / годСША
salesforcebilling
Responsible for managing the integration of new product launches into sales, billing, and finance systems ensuring smooth quote-to-cash operations.
О компании
- ’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Обязанности
- We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice.
- We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something.
- We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI.
- Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle
- Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting
- Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review
- Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can
- Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part
- Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work
- Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting
- Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system
- Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch
- Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement
- Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps
- Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions
- Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios
Требования
- Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches
- Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing
- Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules
- Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition
- Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date
- Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution
- Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each
Будет плюсом
- Experience in GTM, revenue or finance systems roles
- Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora
- Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale
- Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara)
- Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs
- Basic SQL and comfort using a data warehouse to check launch data
- Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus
- Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output
Условия
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
- Annual Salary:
- $270,000 — $315,000 USD
Другое
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
- Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
- We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that recruiters only contact you from @.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of . Be cautious of emails from other domains. Legitimate recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit .com/careers directly for confirmed position openings.
- We believe that the highest-impact AI research will be big science. At we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to , including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
- is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.