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After Query Jobs in Concord, CA (NOW HIRING)

Firecrawl

Machine Learning Engineer

San Francisco, CA · On-site

$210K - $240K/yr

Mine query logs and behavioral data at scale to find where our products win and where they fail ... You've shipped ML models into production systems and owned them after launch - deploying ...

Scanner

Full Stack Engineer

San Francisco, CA · On-site +1

... after you submit your application About Scanner At Scanner, we're committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether ...

Scanner

Full Stack Engineer

San Francisco, CA · On-site +1

... after you submit your application About Scanner At Scanner, we're committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether ...

Scanner

Senior DevOps Engineer

San Francisco, CA · On-site +1

$153K - $196K/yr

... after you submit your application About Scanner At Scanner, we're committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether ...

Scanner

Senior DevOps Engineer

San Francisco, CA · On-site

$153K - $196K/yr

... after you submit your application About Scanner At Scanner, we're committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether ...

Highbrow LLC

SRE DevOps Engineer

San Francisco, CA · On-site

$110 - $130/hr

Build Prometheus alert rules to detect DB query spikes; configure Grafana dashboards for API ... Example: After a WAF misconfiguration causes downtime, lead the investigation, document the ...

Mochi Health

Senior Front-End Engineer

San Francisco, CA · On-site

$144K - $198K/yr

You are responsible for what happens after the code ships. You will own the frontend deployment ... Query, Zustand). • Demonstrated track record of setting technical direction across teams if ...

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All JobsAfter Query JobsAfter Query Jobs in Concord, CA

After Query information

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How much do after query jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for after query in Concord, CA is $46.86, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $55.91 per hour, depending on experience, location, and employer.

What is an after query?

After Query jobs typically refer to roles that involve analyzing, interpreting, and acting upon data results obtained after running database queries. These positions are common in data analytics, business intelligence, and IT, where professionals review query outputs to generate reports, provide insights, or inform business decisions. The job may include tasks such as validating data, ensuring query accuracy, and collaborating with stakeholders to communicate findings. Strong analytical skills and proficiency with SQL or other query languages are often required. These roles are vital for organizations that rely on data-driven decision-making.

What are the key skills and qualifications needed to thrive as an after query, and why are they important?

I'm sorry, but 'After Query' does not appear to be a recognized professional job title. Please provide a valid job title.

What are some common challenges faced by professionals in after query roles, and how can they be addressed?

In After Query roles, professionals often encounter challenges such as managing high volumes of post-query follow-ups, ensuring timely and accurate responses, and maintaining clear communication between departments. Balancing multiple requests while adhering to company policies requires strong organizational skills and attention to detail. Building effective workflows and leveraging customer relationship management (CRM) tools can help streamline processes and enhance collaboration with team members, ultimately improving the customer experience.

What is the difference between After Query vs Data Analyst?

AspectAfter QueryData Analyst
Required CredentialsTypically requires a basic understanding of database querying, often with certifications like SQL certificationRequires strong analytical skills, proficiency in SQL, Excel, and data visualization tools, often with a degree in data science, statistics, or related fields
Work EnvironmentPrimarily works in database environments, often within IT or database teamsWorks across departments, analyzing data to support business decisions in various industries
Employer & Industry UsageUsed mainly in IT, database management, and software companiesCommon in finance, marketing, healthcare, and consulting firms

While both roles involve working with data, After Query focuses on executing database queries to retrieve information, whereas Data Analysts interpret and analyze data to provide insights for decision-making.

What are popular job titles related to After Query jobs in Concord, CA?

For After Query jobs in Concord, CA, the most frequently searched job titles are:

What job categories do people searching After Query jobs in Concord, CA look for?

The top searched job categories for After Query jobs in Concord, CA are:

What cities near Concord, CA are hiring for After Query jobs?

Cities near Concord, CA with the most After Query job openings:

After Query jobs near you

Machine Learning Engineer

Firecrawl

San Francisco, CA • On-site

$210K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Machine Learning Engineer
You'll build the ML behind Firecrawl - the models and the systems that serve them. That starts with search: training and shipping the ranking and relevance models for one of our fastest-growing products, then extending that work across extraction quality and LLM-driven features. You'll also own how we measure: A/B testing launches and building the experimentation frameworks the whole team ships against. If you ship models into production - whether your title says ML engineer or data scientist - this is for you.
Salary Range: $210,000-$240,000/year
Equity Range: Competitive equity - details shared during the process.
Location: San Francisco, CA (Hybrid, on-site required)
Job Type: Full-Time
Experience: 3+ years building ML or data-heavy systems in production
Visa: Must be legally authorized to work in the United States. We're not able to sponsor visas right now, though that may change down the line.
About Firecrawl
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.
We hit 8 figures in ARR in year one and more than doubled it in year two. We have 170k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.
We're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.
This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.
What You'll Do
  • Improve ranking and relevance for Firecrawl Search - from feature engineering to model training to production
  • Build and tune models for learning-to-rank, query understanding, and LLM-driven retrieval
  • Extend ML across Firecrawl's products - extraction quality, content classification, and evaluation of LLM-driven features
  • Mine query logs and behavioral data at scale to find where our products win and where they fail
  • Build the data pipelines that turn web-scale crawl and query data into training data and features
  • Work hands-on with platform, search engineers and cloud DevOps to get models running fast and cheap in production
  • Design and formulate our testing strategy - the A/B testing frameworks and offline evaluation the team ships against
  • Partner on product launches across Firecrawl: define success metrics, run the experiments, and make the ship/no-ship call on evidence
  • Report on how releases perform post-launch and turn the findings into the next iteration

What We're Looking For
  • You've shipped ML models into production systems and owned them after launch - deploying, monitoring, and retraining them, not handing them off
  • You have real ranking or relevance-modeling experience - learning-to-rank, recommendations, or search quality
  • You're comfortable in large, data-heavy systems: query logs, pipelines, and datasets that don't fit in memory
  • You write production-quality code (Python at minimum) and can work inside a real backend codebase
  • You're rigorous about measurement - you've designed and analyzed A/B tests and know when a lift is real
  • You can communicate results clearly to the team - what shipped, what moved, and what to do next

Nice to Have
  • MLOps experience - MLflow, experiment tracking, model registries, or feature stores; Kubernetes is a plus
  • Experience building or standardizing an experimentation framework at a previous company
  • Experience with embedding models, vector retrieval, or LLM-based relevance evaluation
  • Experience evaluating LLM outputs at scale - quality scoring, structured-extraction accuracy, or agent behavior
  • Spark or similar large-scale data processing experience

What We're NOT Looking For
  • A pure statistician or analyst who needs an engineering team to productionize their work
  • Someone who wants to specialize narrowly and hand off everything else
  • Someone who optimizes for process over shipping

A Note On Pace
We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings - but this role probably isn't for you.
Benefits & Perks
Available to all employees
  • Salary that makes sense - $210,000-$240,000/year, based on impact, not tenure
  • Own a piece - Gain competitive equity in what you're helping build
  • Generous PTO - 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge
  • Parental leave - 12 weeks fully paid, for all parents
  • Wellness stipend - $100/month for the gym, therapy, massages, or whatever keeps you human
  • Learning & Development - Expense up to $1,000/year toward anything that helps you grow professionally
  • Team offsites - A change of scenery, minus the trust falls
  • Sabbatical - 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees
  • Full coverage, no red tape - Medical, dental, and vision (100% for employees, 50% for spouse/kids) - no weird loopholes, just care that works
  • Life & Disability insurance - Employer-paid short-term disability, long-term disability, and life insurance - coverage for life's curveballs
  • Supplemental options - Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind
  • Doctegrity telehealth - Talk to a doctor from your couch
  • 401(k) plan - Retirement might be a ways off, but future-you will thank you
  • Pre-tax benefits - Access to FSAs and commuter benefits (US-only) to help your wallet out a bit
  • Pet insurance - Because fur babies are family too

Available to SF-based employees
  • SF HQ perks - Snacks, drinks, team lunches, intense ping pong, and peak startup energy
  • E-Bike transportation - A loaner electric bike to get you around the city, on us

Interview Process
Application Review - Send us your work and a quick note on why this excites you. Show us what you've built - search systems, indexing pipelines, ranking improvements. We care about what you've shipped, not where you went to school.
Intro Chat (~25 min) - A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.
Technical Chat (~45 min) - We'll dig into a real problem from our world; examples include: improving ranking quality with noisy relevance signals, designing the A/B test for a product launch, or building features from query logs - and talk through how you'd approach it. Come ready to think out loud; we care how you reason, not whether you memorized the answer.
Founder Chat (~25 min) - Culture, pace, ownership, and how you like to work. Time for your questions too.
Paid Work Trial (1-2 weeks) - Work with the team on a real, scoped piece of the product - paid at a contractor rate. It's the truest signal for both sides: you see what building at Firecrawl actually feels like, and we see how you ship. Remote-friendly, and we'll flex around your current commitments.
Decision - We move fast after the trial.
If you want your models ranking results for the whole web - and to see the impact in production the same week - you should join us.
Apply now.

Apply