We're looking for a hands-on, strategic Senior Tax Manager to own and scale all aspects of our corporate tax function. This role will be responsible for managing compliance, provision, planning, and strategy across direct and indirect taxes, while partnering closely with Finance, Legal, and external advisors.
\nManage U.S. federal, state, and local income tax compliance. Oversee sales and use tax compliance, nexus analysis, and indirect tax obligations. Review and coordinate preparation of tax returns with external advisors. Manage quarterly and annual tax provisions under ASC 740. Support audits and inquiries from tax authorities.
\nLead international tax planning and compliance across global operations. Evaluate tax implications of new market entry, legal entity formation, and international expansion. Manage transfer pricing policies, documentation, and intercompany transactions. Coordinate foreign tax filings and compliance with local advisors. Assess permanent establishment, withholding tax, VAT/GST, and digital services tax exposures. Monitor evolving global tax regulations and support cash movement, and cross-border structuring strategies.
\nOversee sales and use tax compliance, including nexus analysis and registration Implement and optimize sales tax processes and systems Monitor evolving tax obligations related to our products
\nManage tax audits and inquiries from federal, state, and local authorities Coordinate responses and maintain supporting documentation Mitigate risk and ensure compliance with evolving tax regulations
\nPartner with Finance, Legal, HR, and Billing teams on tax implications of business decisions Provide guidance on equity compensation tax matters, payroll tax considerations, and global mobility (as applicable)
\nBuild scalable tax processes, controls, and documentation Evaluate and implement tax technology solutions Improve data flows between accounting systems and tax processes
\nBachelor’s degree in Accounting, Finance, or related field (Master’s in Tax preferred) CPA required 7–10+ years of progressive tax experience (mix of Big 4/public accounting and in-house preferred) Strong experience with: Corporate income tax (multi-state) ASC 740 tax provision Sales & use tax compliance Experience in tech, AI, or high-growth startup environments strongly preferred Familiarity with international tax concepts (transfer pricing, foreign subsidiaries) is preferred Experience with tax software
\nBuilder mindset: comfortable creating processes from scratch Strong analytical and problem-solving skills Ability to operate both strategically and tactically Excellent communication skills with the ability to explain complex tax issues to non-tax stakeholders Adaptability in a fast-moving, ambiguous startup environment
\nOpportunity to build and own the tax function at a high-growth AI company Work alongside a world-class team in AI and engineering Competitive compensation, equity, and benefits Direct impact on company strategy and growth
\n$200,000 - $250,000 + equity + comprehensive benefits package
\nThis role is onsite in our downtown San Francisco HQ
","enriched_at":1781028951260},{"id":"job_0bcb73e8-60d","title":"AR Specialist","source_url":"https://job-boards.greenhouse.io/fal/jobs/4259088009","location":"San Francisco","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Finance","description":"We're looking for a detail-oriented and proactive AR Specialist to own collections processes, improve cash flow operations, and partner cross-functionally with Finance, Sales, Operations, and Customer Success teams.
\nManage the end-to-end accounts receivable process, including invoicing, payment tracking, and account reconciliation. Monitor aging reports and proactively follow up on outstanding invoices. Maintain accurate customer account records and resolve billing discrepancies in a timely manner. Support month-end close activities related to AR and cash application.
\nExecute collection strategies to reduce DSO and improve cash collections. Build strong relationships with customer AP teams to resolve payment delays professionally and efficiently. Escalate high-risk or delinquent accounts appropriately while maintaining positive customer relationships. Analyse customer payment trends and identify collection risks early.
\nUtilise collection tools to manage collection workflows, automate outreach, and track collection performance metrics. Collaborate with Finance leadership to optimise AR processes, reporting, and controls. Partner with Sales to ensure billing accuracy and smooth customer onboarding. Help implement scalable systems and best practices suitable for a high-growth startup environment.
\nPrepare weekly AR ageing and collections reports for leadership. Track KPIs, including DSO, collection effectiveness, and overdue balances. Support audit requests and maintain documentation for compliance purposes.
\n3+ years of experience in Accounts Receivable, Billing, or Collections. Experience in a SaaS, technology, or startup environment preferred. Strong understanding of AR processes, collections strategies, and cash application workflows. Experience with ERP/accounting systems. Excellent communication and negotiation skills and comfortable calling customers on the phone. Strong organisational skills with high attention to detail. Ability to prioritise and manage multiple deadlines in a fast-paced environment.
\nHands-on experience with Tesorio or similar AR automation/collections platforms. Experience supporting enterprise or B2B customers. Familiarity with SaaS billing models, contracts, and revenue operations. Use AI tool to perform analysis and summary. Experience working cross-functionally with Sales and Operations.
\nOpportunity to shape the accounting foundation of a high-growth AI startup. Work with a collaborative, mission-driven team. Competitive compensation, equity, and benefits. High autonomy and real ownership over core financial operations.
\n$100,000 - $140,000 + equity + comprehensive benefits package
","enriched_at":1779869189511},{"id":"job_7b416512-e04","title":"Manager, Data Center Operations","source_url":"https://job-boards.greenhouse.io/fal/jobs/4248330009","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're hiring a Data Center Operations Manager to build the function from zero. This is a builder role where you'll own white space fit-out and commissioning of new clusters we are bringing up. You'll also stand up the smart hands and break-fix functions: hiring, playbooks, the operating model.
\nYou'll design, fit-out, and commission white space across owned and colo sites: PDUs, CDUs, busway, in-row cooling, high-density power. You'll build the smart hands and break-fix teams. You'll run a multi-site portfolio across stages: build, commission, ramp, live.
\nYou'll hold vendors and integrators to schedule and spec: Supermicro, NVIDIA, cooling vendors, cable plant subs, the GC. You'll own the technical calls on white space: rack layout, cooling topology, cable plant, power redundancy, serviceability.
\nYou'll partner with network eng on InfiniBand/Interconnects. You'll establish standards that scale, so site #10 doesn't need you on every commissioning call.
","enriched_at":1778803759363},{"id":"job_b75fda4b-dd1","title":"Engineering Manager, Fleet Reliability","source_url":"https://job-boards.greenhouse.io/fal/jobs/4248334009","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"fal is the generative media ecosystem powering the next generation of AI products.
\nWe build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise.
\nFor developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
\nAs generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
\nWe're hiring an Engineering Manager to build and run Fleet Reliability: the function that keeps every GPU node we own provisioned, validated, and alive.
\nThe fleet is about to 10x. You'll hire the team, set the bar, write the playbooks, and own the operating model.
\nWe're looking for a Workplace Manager to own the heartbeat of our San Francisco Headquarters. You'll own end-to-end operations, level up the environment, and build the systems that help us scale.
\nResponsibilities:
\nEvents:
\nSpace and workplace logistics:
\nRequirements:
\nWhat we offer at fal:
\nCompensation:
\n$130,000-150,000 + equity + comprehensive benefits package
","enriched_at":1778803680901},{"id":"job_ef217039-bac","title":"Recruiting Coordinator/Operations","source_url":"https://job-boards.greenhouse.io/fal/jobs/4018609009","location":"San Francisco","job_type":"full-time","experience_level":"mid","work_arrangement":"onsite","category":"Operations","description":"We're hiring a Recruiting Coordinator/Operations to help build a best-in-class recruiting engine as we scale. This is a coordination-heavy role, but the scope goes beyond scheduling , you'll own the systems and processes that keep the team organized and moving, and you'll be expected to improve them over time.
\nYou'll help build the processes, documentation, and tooling that grow with us, not just execute the ones that already exist.
\nMaintain data integrity across our ATS (Ashby) and recruiting tools, auditing regularly to keep information accurate. Track interview feedback completion and follow up to ensure SLA’s are met. Keep recruiting documentation and Slack channels up to date. Track and analyze key recruiting metrics (time-to-fill, interview-to-offer ratio, source effectiveness) and bring data-driven recommendations to the team. Identify process gaps and propose improvements. Contribute to broader recruiting initiatives: employer branding, onboarding improvements, and etc.
\nOwn end-to-end interview scheduling across candidates, hiring managers, and interviewers , managing conflicts, logistics, and every touchpoint. Manage high-volume interview coordination across multiple time zones, calendars, and stakeholders while maintaining a world-class candidate experience. Coordinate all interview logistics, from travel and expenses to room setup and technical support. Serve as the primary point of contact for candidates from initial screening through offer, communicating in a warm, professional, and timely manner. Anticipate scheduling bottlenecks: monitor interviewer availability, flag conflicts early, and keep hiring velocity high. Use Ashby's scheduling tools to automate where possible and reduce manual work.
\nBased in SF and available to work onsite 5 days a week. 2+ years of experience as a Recruiting Coordinator or in a similar role, with a track record of working independently. Prior experience in a SaaS or tech startup environment strongly preferred. Comfortable in fast-moving, ambiguous environments where priorities shift. Proficient in Ashby with strong data hygiene habits and comfort pulling pipeline reports. Strong interpersonal skills , you build trust quickly with hiring managers, candidates, and cross-functional partners. Exceptionally organized and detail-oriented, able to juggle multiple open roles without dropping the ball. You have a do-what-it-takes mindset , proactive, detail-oriented, and dependable, with the ability to anticipate needs, take initiative, and ensure nothing falls through the cracks without needing direction.
\nInteresting and challenging work Competitive salary and equity A lot of learning and growth opportunities We are currently hiring in downtown San Francisco. We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites
\n$110,000-130,000 + equity + comprehensive benefits package
","enriched_at":1778803670162},{"id":"job_edecae6c-ca0","title":"Operations Engineer, HPC Networking","source_url":"https://job-boards.greenhouse.io/fal/jobs/4248335009","location":"Remote","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're hiring an Operations Engineer for HPC Networking to keep our InfiniBand and Ethernet fabrics healthy as we scale.
\nThis is a hands-on role. You'll bring up new fabrics alongside DC ops, monitor the ones in production, and chase down the weird stuff: link flaps, congestion, NCCL stalls, firmware bugs that only show up at scale.
\nAs generative media reshapes industries, fal is hiring Operations Engineers to keep the fleet alive. This hands-on role involves provisioning, validating, and troubleshooting GPU nodes across clusters. You'll be on-call, comfortable with ambiguity, and able to script your way out of repetitive work.
\nResponsibilities: Provision, validate, and triage GPU nodes across B300, H200, and H100 clusters Troubleshoot hardware and software issues across compute, network, and storage Monitor fleet health, take remediation action, push fixes upstream when needed Write the runbooks. Improve the ones that exist. Delete the ones that don't work
\nYou're a fit if you've: Administered Linux Systems in the critical path before Troubleshooted GPU node issues: NVLink, NCCL, IB, driver and firmware bugs Has experience in observability systems like Grafana and Prometheus Scripted your way out of repetitive work (bash, python, go, whatever)
\nWho you are: Curious. You don't accept 'it's flaky' as a root cause Comfortable with ambiguity. The runbook doesn't exist yet for half of what you'll do On-call doesn't scare you You'd rather automate a problem than fix it twice
","enriched_at":1778803651189},{"id":"job_91b7082b-db8","title":"Senior Data Scientist, GTM","source_url":"https://job-boards.greenhouse.io/fal/jobs/4247102009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Sales","description":"As a Senior Data Scientist for Go-to-Market at fal, you will be the analytical backbone of our revenue organization. Embedded directly with the GTM function, you will own the metrics that tell us how our pipeline is performing, how our sales team is executing, and where the next dollar of revenue is most likely to come from.
\nThis is a high-leverage, high-visibility role. GTM leadership will look to you for the answers , on rep performance, quota attainment, pipeline health, AM coverage, and segment economics , and you'll shape both the questions we ask and the systems we build to answer them. You'll partner closely with Product Intelligence and Data Engineering as part of fal's center-of-excellence data team, while acting as the embedded specialist for everything GTM.
\n$190,000 - $230,000 + equity + comprehensive benefits package
","enriched_at":1778713655803},{"id":"job_d3863ec5-4aa","title":"Senior Data Scientist, Growth","source_url":"https://job-boards.greenhouse.io/fal/jobs/4247110009","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"As a Senior Data Scientist for Growth at fal, you'll be building the growth measurement foundation from scratch. You'll define the event taxonomy, attribution model, channel hierarchy, and reporting infrastructure that the entire marketing org will run on.
\nYou'll stand up acquisition analytics across paid, organic, content, community, and partnership channels, starting from early-stage instrumentation and working toward a unified view of channel performance.
\nYou'll shape our top-of-funnel growth strategy alongside marketing and leadership; translate early signals from nascent channels into clear recommendations on where to double down, where to experiment, and where to wait.
\nYou'll define and operationalize the unit economics of fal's growth motion (CAC, LTV, LTV:CAC, payback period, ROAS, and cohort performance by channel).
\nYou'll design and run growth experiments end-to-end: shape the hypothesis, build the measurement plan, analyze the results, and turn findings into the next round of bets.
\nYou'll help shape the broader data and analytics capability supporting growth as the team scales.
","enriched_at":1778713645629}],"category_normalised":[{"category":"engineering","count":16},{"category":"operations","count":3},{"category":"finance","count":3},{"category":"sales","count":1},{"category":"marketing","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":10},{"week_start":"2026-04-20","count":3},{"week_start":"2026-05-04","count":1},{"week_start":"2026-05-11","count":8},{"week_start":"2026-05-25","count":1},{"week_start":"2026-06-08","count":1}],"trend":"decelerating","wow_pct":0},"momentum":{"recent_14d":1,"prior_14d":1,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":202500,"industry_median":null,"percentile":null,"sample_size":9,"by_region":[{"region":"United States","company_median":202500,"industry_median":null,"sample":9}],"transparency_pct":38,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":24,"industry_total":24,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.305,"skill_weighted_score":0.259,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Python","count":8,"score":0.295},{"skill":"Kubernetes","count":4,"score":0.288},{"skill":"PostgreSQL","count":3,"score":0.192},{"skill":"Next.js","count":3,"score":0.192}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":18,"share_pct":75},{"region":"Remote","count":5,"share_pct":20.8},{"region":"Unknown","count":1,"share_pct":4.2}],"emerging":[],"shrinking":[{"region":"United States","recent_30d":2,"prior_30d":7,"growth_pct":-71},{"region":"Remote","recent_30d":0,"prior_30d":4,"growth_pct":-100}]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":58,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":20}}}}