How to land Fal jobs after its $1.3B raise

What happened with Fal's $1.3B raise, and why does it matter for job seekers?

Fal raised a $1.3 billion Series F led by Bessemer that values the company at $16 billion, double the $8 billion valuation it reached in April. For job seekers, the part that matters is where the money goes: more computing power and a bigger team. Burkay Gur and Gorkem Yurtseven founded Fal in 2021. It hosts and runs generative media models (image, video and audio) that developers and companies call through an API. Nvidia, T. Rowe Price, Sound Ventures and HOF Capital also joined the round, and Fal passed $800 million in annualized revenue earlier this year. This is a company that has outgrown its headcount. It isn't hiring on spec.

Demand tells you where the jobs will land. Gur has said that over the summer Fal couldn't serve every customer and had to rate-limit some of them. Once a company says that publicly, you can more or less write its hiring plan. It needs people who get more output from each GPU, people who keep a growing fleet of machines healthy, and people who turn big customers' production workloads into long contracts. The team was about 185 people at the time of the raise. The public job board already listed dozens of openings across infrastructure, sales and business development, finance, security and product. Expect that list to grow, and expect roles to fill fast.

Here's the catch. A hot company right after a famous raise gets flooded with applications, and most of them are the same generic “passionate about AI” CV sent to five postings at once. Fal isn't the only one hiring either. Several rival inference platforms raised huge rounds this year, so the same candidates are applying to all of them. That's good news if you're willing to do the work. The rest of this guide covers which roles open first, what your CV has to prove for each, and how to tailor it to the actual ad and check it gets through automated screening. If you've read our take on landing a role at a pre-IPO AI lab, much of the playbook will feel familiar.

Which Fal jobs are most likely to open first?

The first wave of Fal jobs after this raise will almost certainly be in infrastructure engineering, ML systems and go-to-market. The public board already shows it: infrastructure engineering was the biggest single category, followed by sales and business development. Titles posted include ML infrastructure and automation, ML backend, distributed systems, site reliability, network infrastructure, fleet reliability, HPC networking, data platform, and security detection and response. That's what hiring looks like when a company's bottleneck is physical: GPUs, networks and the software that schedules work across them. If you've run large clusters, you're right in the target zone even if you've never trained a model yourself.

The second group of roles sits closer to models and customers. Applied ML engineers extend open-source image and video models with new capabilities and help maintain the fleet of generative model APIs. That posting asked for hands-on Hugging Face and Diffusers experience. Forward deployed engineers work directly with large customers to get their production workloads running. One senior-to-staff posting listed a base salary of $180,000 to $250,000 in San Francisco. My contrarian take: forward deployed engineering is the most underrated way into a company like this. It rewards breadth, customer judgment and debugging under pressure, yet plenty of strong backend engineers skip it because the title sounds like sales. It isn't a sales job.

On the go-to-market side, Adobe, Canva, Shopify and Amazon all run production work on Fal. A customer list like that needs enterprise account executives, solutions engineers and usually developer relations people who can talk to both a CTO and a procurement team. Most roles are in San Francisco, though a handful of infrastructure and operations jobs, including fleet reliability and HPC networking, have been listed as remote. Posted pay is competitive. A senior product engineering role and a senior product designer role were both listed at $180,000 to $230,000 base plus equity. Check the company's own board rather than aggregator sites, because third-party role counts disagree widely and go stale within days.

What should an ML infrastructure engineer resume show for Fal?

An ML infrastructure engineer resume aimed at Fal has to prove, with numbers, that you've made model serving faster, cheaper or more reliable. That's the whole game. A line like “worked on inference platform” tells a recruiter nothing. Something like “cut p95 latency on a diffusion endpoint from 4.1s to 1.6s by batching requests and moving to FP8” shows you understand exactly the problem Fal is paid to solve. The metrics that get attention are latency percentiles, throughput in requests or images per second, GPU utilization, cold-start time, cost per thousand generations and uptime. If you don't have the exact figure, use a relative one you can defend, such as “roughly halved,” instead of inventing precision you can't back up in an interview.

Next comes your stack, and here software and humans read your CV differently. Recruiters and screening software both scan for named technologies, so spell out the ones you've actually used: CUDA, Triton, TensorRT, PyTorch, vLLM or a similar serving engine, Kubernetes, Ray, NCCL, InfiniBand, Terraform. Put them in a plain-text skills section grouped by layer (kernels and compilers, serving, orchestration, networking), not in a graphic or a row of logos. Then make sure each important tool also shows up in a bullet about what you did with it. A skills list proves you've heard of something. A bullet proves you shipped with it, and Fal's interviewers will test the difference within minutes.

Scale is the third thing to prove. By its own account, Fal's fleet couldn't keep up with demand this summer. So if you've run hundreds or thousands of GPUs, owned an on-call rotation or handled hardware failures at volume, say so plainly. Give the sizes: number of nodes, peak requests per day, regions served, the biggest incident you led and how fast you recovered. Media workloads add something chat-focused experience doesn't always cover. Video generation jobs run long and use a lot of memory, so experience with queueing, preemption, autoscaling and caching model weights is worth naming. If your current CV buries all this under old job duties, rebuild it around your strongest scale numbers rather than tacking on another bullet.

How do you tailor your CV to a specific Fal job ad?

Tailor your CV to one Fal posting at a time. Mirror its exact wording, reorder your experience around its top three requirements and cut anything that doesn't support them. Start by pasting the full job description into a document and highlighting every technology, responsibility and outcome it names. If the ad says “distributed systems” and your CV says “large-scale backend,” change it, because screening software and recruiters both match on words. Then work out what the role is really for. A fleet reliability posting wants incident ownership and comfort with hardware. An applied ML posting wants models you've shipped. The top bullet under each recent job should match whatever they need most.

Don't apply to everything. Fal has posted dozens of roles, and it's tempting to send the same file to six of them. At a company this size, recruiters see every application from the same person. Someone who applies to site reliability, product design and enterprise sales in one afternoon looks unfocused, not keen. Pick one or two roles that genuinely fit and write a separate version for each. For go-to-market candidates, tailoring means quota attainment, average deal size, sales cycle length and, ideally, a track record of selling to developers or technical buyers. For developer relations, show launches, docs, demos, talks and the community growth that followed, with numbers wherever you can stand behind them.

Using an AI assistant to draft the tailored version is fine, and most candidates do it now. Paste the job ad and your CV into ChatGPT, Claude or Gemini and ask it to list the gaps against the posting, rather than rewrite everything. Then edit the output hard. Assistants love vague verbs and inflated claims, and they'll happily make up a metric if you let them. Once you have a draft, check whether your CV matches the job description by pasting in the posting text. HRLens lists the skills you're missing, tailors its suggestions to that role and generates ATS-friendly rewritten CVs in six templates that mirror the job's keywords. Paste the text instead of a link, since some job sites block fetching.

How do you make sure your CV passes ATS screening before you apply?

To get through automated screening, your CV needs to convert cleanly into text, and the right keywords need to sit where a parser expects them. Fal's job board runs on an applicant tracking system, so assume software reads your file before a person does. The safe format is a single-column PDF or Word file with standard headings (Experience, Skills, Education), real text rather than text inside images, and dates written the same way throughout. When a strong CV comes out the other side as garbled fragments, the usual culprits are two-column templates, icons, tables used for layout and contact details tucked into the page header.

The fastest way to know is to test the exact file you'll upload. Run a free CV analysis on HRLens and you'll get an overall score out of 100 and five category scores: experience, tech stack, impact and ownership, clarity and structure, and ATS compatibility. You also get a list of your strengths and a visual analysis of how the document is laid out. For a Fal application, watch the tech stack and impact scores most closely. A low impact score usually means your bullets describe duties instead of results. The Full Analysis costs $3.99 and adds a detailed fix list, the reasons you might be rejected, and an estimate of how many interviews you'd get per ten applications.

One last check before you hit submit, and this one isn't about your CV. Hot companies attract fake recruiters, and a $16 billion headline is exactly the bait scammers use. If someone messages you about a Fal role, confirm the posting exists on the company's own careers page and that the recruiter's email uses the real company domain. Our guide to spotting a fake recruiter covers the eight warning signs and the details to leave off your CV until a contact checks out. After that, keep a simple tracker of the role, the CV version and the date you applied, and follow up once after about a week. With this many roles moving at once, staying organized is part of getting remembered.

Frequently asked questions