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Job intelligence

Named Technical Support Engineer

Roboflow

Location: USA Advertised pay: USD 150,000–200,000 / yearly Work arrangement: Region-restricted remote Employment: Full Time Posted: October 20, 2026 Freshness: Very fresh Source check: Observed today

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionAbove the current upper quartile13 current same-currency observations
Work flexibilityRegion-restricted remoteBased only on stated location/work-arrangement evidence.
Decision evidence4 of 5 core facts knownThis listing states more core decision facts than the median role in the current sample.
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternativesCurrent role context limitedCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence available: advertised pay range, current same-currency market context, strong decision evidence.Use the private Offer & Negotiation Lab below if an offer arrives.
Watch closely: Application closing time

Fast read

Opportunity DNA

There is a useful advantage here: pay compares strongly with similar current roles. Still, location rules could change the fit could change the fit.

May appeal in aCompensation-led search
PayStrong current position

Around the 92th percentile within 13 comparable USD salary observations.

FlexibilityLocation limits visible

Geographic eligibility is restricted to a country or region.

Entry pathHigher entry bar

One or more material qualification requirements are stated and may narrow the realistic applicant pool.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

4 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Compensation
  • Work arrangement
  • Location eligibility
  • Employment type

What to verify next

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?

Unknown information is never converted into a negative score. The questions above exist to prevent missing evidence from being mistaken for a favorable term.

Decision levers

What could make or break the fit?

Reasons to look closer

  • Pay compares strongly with similar current roles: The annualized midpoint is around the 92th percentile among 13 comparable USD salary observations.

Trade-offs to weigh

  • Location rules could change the fit: Geographic eligibility is restricted to a country or region.
  • The experience requirement raises the entry bar: The listing appears to require at least about 7 years of experience.

Questions worth asking before you invest more time

  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Opportunity neighborhood

Keep your options open

These live roles sit close enough to this opportunity to make useful comparison points. Look across several employers before deciding what pay, flexibility or access trade-offs you are willing to accept.

Technical Support Specialist (Night Shift)

Nextiva · Ukraine

Salary not disclosed Remote — restrictions unclear 3/5 core facts

Why it is nearby: Same seniority band · Similar work arrangement · Same employment type

Different angle: Different country

Customer Success Manager

SOCi · Canada

CAD 70,000–100,000 / year Region-restricted remote 4/5 core facts

Why it is nearby: Same seniority band · Similar work arrangement · Same employment type

Different angle: Different country

Team Lead Customer Success - Southern Europe

Constructor · Remote - EMEA

Salary not disclosed Region-restricted remote 3/5 core facts

Why it is nearby: Same seniority band · Similar work arrangement · Same employment type

This neighborhood is drawn from current inventory in the same broad occupation. Similarity is based on explicit listing facts; missing details do not count against a job.

Role market context

How much current choice is visible around this kind of work?

This compares the vacancy with current High Paid Job inventory in the broad Customer success & support roles family. It describes visible choice and disclosure, not future demand or career quality.

Current visible roles666

200 most recent current roles sampled for the disclosure measures below.

Employers represented161

Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.

Decision-ready disclosure32%

Current sampled roles stating at least four of the five Core Decision Facts.

Compensation stated40%

Requires a numeric amount, explicit ISO currency and supported pay period.

Work arrangement stated83%

Listings with explicit enough remote, hybrid or on-site evidence to classify.

Stated closing time32%

Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.

Disclosure comparison: This listing states more core decision facts than the median role in the current sample. This listing: 4/5 · sample median: 3.0/5.

Currencies with explicit pay evidence in the sample: USD (59) · EUR (9) · GBP (7) · CAD (2). Raw amounts across different currencies are not compared.

This describes current visible High Paid Job inventory in the same broad occupation family. Percentages use a bounded recent sample and are not a forecast, a complete labor-market census or an employer-quality measure.

Constraint opportunity lab

What changes the size of the current opportunity pool?

Each line applies one stricter evidence-based constraint to the same bounded current role-family sample. It helps you see the trade-off in visible choice without deciding which trade-off is right for you.

Require explicit sponsorship or relocation support 0 / 200 0%

Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.

Keep this advertised salary floor in the same currency 3 / 58 5%

Only same-currency opportunities with usable annualized pay enter this comparison. Other currencies are not converted or treated as lower.

Require worldwide remote evidence 29 / 200 15%

A much stricter subset: only listings with explicit worldwide-remote evidence remain.

Require at least four Core Decision Facts 64 / 200 32%

Shows the subset with enough stated evidence for a more informed first comparison.

Require usable compensation disclosure 80 / 200 40%

Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.

Require a remote-listed arrangement 86 / 200 43%

Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.

Stay in the same stated country 51 / 94 54%

Uses only roles where a country is known. Roles without country evidence are excluded from this denominator.

Stay around the same seniority band 163 / 200 82%

Includes roles whose seniority is genuinely unspecified rather than assuming they belong to another level.

These are counterfactual filters over a bounded sample of current HPJ inventory in the same broad occupation family. They show how visible choice changes when one evidence-based constraint is applied; they do not tell you which constraint you should choose or predict hiring outcomes. The calculation uses the 200 most recent current roles from 666 visible roles in this broad family.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing states usable structured compensation. About 40% of the bounded current role sample does the same.

This listingUsable pay stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sample40%

Pay disclosure is limited in the current role sample.

Current employer pattern93%

This employer’s current visible listings disclose pay materially more often than the current same-role sample.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payUSD 150,000–200,000 / yearListing evidence only.
Current comparable medianUSD 90,85557 current sampled roles
Current upper quartileUSD 115,000Current HPJ inventory context, not a salary recommendation.

Negotiation evidence available: advertised pay range, current same-currency market context, strong decision evidence.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payKnown

Usable advertised compensation is available.

Bonus / commissionMentioned

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesMentioned

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionVerify

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsMentioned

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveVerify

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingVerify

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • What retirement or pension contribution does the employer provide?
  • How much paid leave is provided and what are the carry-over or blackout rules?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?
  • When is the first performance and compensation review after joining?
  • Is there a firm application deadline, a rolling review window or no stated closing date?

Occupation intelligence

What broader career references connect to this role?

HPJ uses broad comparison families for current-market analysis. External taxonomy results are reference candidates for that broad family, not a declaration that this vacancy has been authoritatively classified into a specific occupation.

HPJ comparison familyCustomer success & support roles
Adjacent families worth exploringSales roles · Operations & program roles

European occupation references

This service uses the ESCO classification of the European Commission.

Adjacent current roles to investigate

Adjacent-family roles are exploration prompts from current HPJ inventory. They are not inferred qualification matches and they do not imply a promotion path.

Career move map

What sits one step away?

This listing is currently read as Senior / lead. Nearby roles one visible seniority step away can help you judge whether to widen the search, stretch upward or compare the responsibilities more carefully.

Broader-entry direction

Mid-career

Client Success Manager

New Perspective · Remote — Worldwide

USD 70,000–80,000 / year Similar work arrangement · Same employment type · Recently posted Advertised midpoint is about 57% lower

Stretch direction

Leadership

Sr. Customer Success Manager

Help Scout · USA

USD 139,000–160,000 / year Same country · Similar work arrangement · Same employment type Advertised midpoint is about 15% lower
Leadership

Customer Success Manager

WorkWave · USA

USD 90,000–100,000 / year Same country · Similar work arrangement · Same employment type Advertised midpoint is about 46% lower

These are live roles one visible seniority step away in the same broad occupation family. They can reveal nearby options, but they are not a guaranteed promotion path and do not account for your personal experience.

Skill bridge

What does this role connect to?

Linux is one of the signals this listing shares with skills appearing often across current Customer success & support roles opportunities.

Skills named in this listing

LinuxMachine LearningPython

Shared with the current career sample

  • Linux Seen in 8 sampled listings
  • Machine Learning Seen in 5 sampled listings
  • Python Seen in 5 sampled listings

Combinations also appearing together

  • Linux + Python appeared together in 3 sampled listings

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used Linux, Machine Learning, and Python rather than relying on a keyword-only claim.
  • The listing states about 7 years of required experience. Check that the dates and scope in your application make that experience easy to verify.

If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Sales roles and Operations & program roles. This is exploration context, not a qualification match.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant. The current career comparison draws on 120 sampled listings; 74 contain a recognized skill signal.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Explicit requirement

At least about 7 years of experience required

The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.

Explicit requirement

Non-standard schedule requirement stated

The available wording indicates night, weekend, rotating-shift or on-call work.

Listing mention

Linux

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Machine Learning

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Python

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Questions worth resolving before you rely on the opportunity

  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?
  • Application process: What interview, assessment, portfolio, reference or screening stages are part of the hiring process?

Decision analysis

What the listing really tells you

Rich decision context

Named Technical Support Engineer at Roboflow becomes easier to judge once the advertised pay can be placed in context, the location rules are clear enough to judge, and qualifications reveal more than the job title alone are viewed together. Here is the current read from the information available.

The advertised pay can be placed in context

The annualized midpoint sits near the 92th percentile within 13 comparable USD salary observations. Treat that as current advertised-pay context rather than a forecast of take-home or total compensation.

The location rules are clear enough to judge

Location flexibility can be assessed here: Remote with some uncertainty or restrictions, with a Remote Freedom reading of 62/100. The most important location constraint is geographic eligibility is restricted to a country or region..

Qualifications reveal more than the job title alone

At least about 7 years of experience required · 2 additional stated barriers. Only requirements actually stated in the listing are counted; anything left unsaid remains unresolved.

The visible application effort can be estimated

Provider-mediated application path. The external application may contain additional steps that are not visible from the listing itself.

The listing can be traced to a current source

1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.

How this analysis is assembled

The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.

Analysis evidence coverage

How much analysis can the current evidence support?

100%Strong analysis evidence coverage
100%
Current-sample pay position92 / 100

Uses the explainable High Pay Score within the job’s current occupation/seniority/currency comparison sample.

Remote Freedom evidence62 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityHigh confidence · Focused salary range

The configured source supplied structured salary fields, a usable currency and a focused comparison value.

Listing freshnessVery fresh

The listing was posted about 1 days ago.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

  • Advertised pay is above much of the current comparable disclosed-salary sample.

Visible cautions

  • Geographic eligibility is restricted to a country or region.
  • Some compensation may be variable or performance-based. Confirm the guaranteed base amount before comparing headline pay.
  • The role may involve non-standard hours or on-call work.
  • At least about 7 years of experience required
  • Non-standard schedule requirement stated

Still unknown

  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Some explicit entry barriers stated

EducationEducation requirement not established
Required experience evidenceAt least about 7 years of experience required
Explicit required barriers2
Explicit access signals0

Explicit requirements worth checking

  • At least about 7 years of experience required: The available wording contains an explicit minimum/required years-of-experience signal. Preferred years are tracked separately and never promoted into the required minimum.
  • Non-standard schedule requirement stated: The available wording indicates night, weekend, rotating-shift or on-call work.

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Strong pay with stated barriers to weigh

Pay compares strongly, but qualification or location constraints are also visible. Higher pay does not erase those practical requirements.

Current-sample pay position

Comparable disclosed-pay evidence places this job at about 92 / 100 within its current occupation/seniority sample.

Explicit stated barriers

2 explicit required barriers are visible in the available wording.

Required experience evidence

The listing states at least about 7 years of required experience.

Location-freedom constraints

1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.

Evidence gaps that could change this interpretation
  • Education requirement is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Strong current-sample pay position

The annualized salary midpoint is at or above about 92% of the current comparable disclosed-salary sample.

Still check: At least about 7 years of experience required · Non-standard schedule requirement stated · The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Explainable opportunity highlight

Why this opportunity stands out

These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.

Exceptional current-sample pay

Its annualized salary midpoint is at or above about 92% of the current comparable disclosed-salary sample.

Clear compensation evidence

The source provides structured salary information with a comparatively focused range, improving the usefulness of pay comparisons.

Fresh opportunity

The listing was posted about 1 days ago.

Compensation intelligence

How competitive is this pay?

92/100

Exceptional pay in current sample

92%
Comparison familyCustomer success & support roles · Senior / lead
Comparable salaries13
Current-sample medianUSD 120,000
Middle 50% of sampleUSD 105,495–137,500
Position in sampleAt or above about 92%
Comparison geographySame country (US)
Pay positionAbove the current upper quartile

The annualized midpoint is above the 75th percentile boundary of the current comparable sample.

Why this analysis?

  • The comparison sample is still limited, so treat this as an early directional pay signal.
  • Salary confidence: High. The configured source supplied structured salary fields, a usable currency and a focused comparison value.
  • Range quality: Focused salary range.

Employer compensation communication

Pay transparency at Roboflow

Very strong current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

92/100
92%
Salary disclosure93% · 13 of 14 sampled listings
Range qualityMostly focused or specific pay information
Bonus wording14 current listings
Equity wording14 current listings
Benefits wording14 current listings
Evidence strengthStronger

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

Roboflow — current opportunity snapshot

Current opportunities visible14
Salary disclosure93%
Remote-policy evidence coverage100% · 14 of 14 sampled listings
Remote share of known arrangements100%
Worldwide-remote share0%
Known hiring countries1
Sponsorship evidence coverage0% · 0 of 14 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample14 of 14 · 100% coverage
Current role-family breadth6
Stated closing-date coverage0%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days36% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation93% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location100% of sampled current listings

Current sampled listings with a supported country signal.

Application timing0% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Sales (3) · Customer success (2) · People Hr (1)

Visible seniority mix: Senior / lead (5) · Leadership (3)

Current employment-type mix: Full time (14)

Most visible hiring countries in this sample: United States (14)

Other current roles from this employer

Security Engineer

Europe, USA

Senior / lead · Region-restricted remoteUSD 165,000–200,000 / year

Research Scientist

USA

Seniority not clearly specified · Region-restricted remoteUSD 168,000–255,000 / year

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

Current disclosed salary medians by currency

  • USD 180,000 median · 13 disclosed salaries

Questions worth asking this employer

  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?
  • What is the expected application and interview timeline if the listing does not state a closing date?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

62/100

Remote with some uncertainty or restrictions

62%

Why this score?

  • The role is remote but the source identifies a country or regional restriction.

Location restrictions detected

  • Geographic eligibility is restricted to a country or region.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

These are visible conditions worth checking before treating the headline compensation as the whole story:

  • Some compensation may be variable or performance-based. Confirm the guaranteed base amount before comparing headline pay.
  • The role may involve non-standard hours or on-call work.
  • The listing appears to require substantial prior experience.
  • This is remote work with a geographic restriction, not a worldwide-remote vacancy.

Current alternatives

Better-paying alternatives

These current roles show a materially higher annualized salary midpoint in the same broad occupation and currency. Similar seniority, country, work arrangement, employment type and recency are preferred where possible; higher pay alone does not make an alternative a better fit.

About +5% midpoint

Sr. Customer Success Engineer

Veeam Software · USA

USD 103,200–264,300 / year Region-restricted remote

Why comparable: Same seniority band · Same country · Similar work-location arrangement

Check: The alternative has a broad advertised salary range.

Alternatives are drawn from the current inventory rather than presented as application recommendations. A pay difference needs to be meaningful—about 3% or more at the midpoint—and different currencies are not compared.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: jobicy.com · HTTPS

No additional required application step is clear in the available listing text. This does not mean the external application is one-click or friction-free.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

Who We Are

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.

We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.

Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

Roboflowers are passionate builders who value ownership, accountability, and a bias toward action. We're curious, hands-on with new tech, and prefer showing our work over talking about it. Many of us have a founder mindset and thrive in our high-autonomy environment.

Who You Are

You are a technically strong Support Engineer who thrives on becoming deeply embedded in a single strategic enterprise customer account. Rather than servicing a broad queue, you prefer owning intimate context: their workflows, edge infrastructure, data pipelines, and operational rhythms. You naturally build long-term trusted relationships, understand customer environments at a granular level, and act as the local regional representative of Roboflow’s platform.

You enjoy teaching just as much as troubleshooting. You run bitesize enablement sessions, create tailored guides and internal customer knowledge bases, and help your customer mature their computer vision operations.

When issues arise, you are calm, structured, and communicative. When things are quiet, you’re proactively improving processes, surfacing insights, and strengthening the operational fabric between Roboflow and the customer.

What You’ll Do

As the Named Support Engineer dedicated to a single enterprise customer, you will:

  • Become the technical continuity for the customer’s computer vision deployment across your region.

  • Build deep contextual understanding of their infrastructure, data sources, workflows, and constraints.

  • Serve as the regional representative of Roboflow inside the customer’s environment—trusted advisor, technical guide, and escalation point.

  • Lead bitesize enablement sessions (e.g., best practices in data, annotation, workflow, deployment).

  • Maintain and evolve a shared customer knowledge base: runbooks, FAQs, architecture notes, and patterns.

  • Diagnose complex issues spanning edge devices, networking, cloud pipelines, and inference performance.

  • Partner closely with Product, Field Engineering, and Account Executives to relay customer insights.

  • Identify latch‑lifter opportunities that expand adoption of Roboflow technologies.

  • Ensure high-quality communication and expectation setting with customer stakeholders.

  • Participate in Support’s on-call rotation as needed.

Technical Proficiency

  • 7+ years of experience with Linux and networking fundamentals (VPN, SSH, firewalls).

  • Strong scripting skills in Bash and Python.

  • Ability to diagnose issues across the full CV/ML pipeline: data → training → workflow → edge inference.

  • Hands-on experience with Nvidia Jetson, Raspberry Pi, webcams, industrial cameras, or other edge devices.

  • Comfortable interpreting logs, profiling inference bottlenecks, and navigating cloud infrastructure.

Individual Oriented Skills

  • Contextual Problem Solving: Strong questioning and listening to understand customer environments.

  • Relationship Building: Able to form trust quickly and operate as a long-term technical partner.

  • Translating Complexity: Skilled at making technical topics understandable to non-technical stakeholders.

  • Managing Sensitive Issues: Calm under pressure, structured in updates, disciplined in follow‑through.

  • Opportunity Identification: Recognizes when workflows or tooling can improve and articulates why.

Team Oriented Skills

  • Proactive Knowledge Sharing: Creates content, updates runbooks, and contributes to internal/external KBs.

  • Enablement Mindset: Enjoys teaching customers and building their maturity in using the platform.

  • Process & Tooling Evolution: Surfaces patterns, proposes improvements, and supports RCA processes.

Bonus Skills

  • Experience with the Roboflow platform.

  • Prior named-account support or Technical Account Manager / DSE experience.

  • Pre-sales, solutions architecture, or consulting background.

  • Ability to articulate technical value as business outcomes.

Who You'll Be Working With

You will work closely with our Field Engineering, Product and Account Executives. Within the customer, you’ll collaborate with engineering, ML practitioners, operators, and program leads—acting as the connective tissue that ensures clarity, continuity, and forward progress.

Where You'll Work

Roboflow is a distributed team across the US, with hubs in New York City and San Francisco. You are free to work from a hub, your home office, or anywhere you work best, however the role requires being based in the US. As a regional representative, occasional customer onsite visits may occur depending on need and location.

When You'll Work

You will generally align with the customer's regional operating hours.

What You'll Receive:

The target compensation for this role is $150K - $200k OTE- this uncapped.

In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

  • $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers

  • $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space

  • $350/mo AI Tools stipend

  • $150/mo team lunch stipend

  • $500/one time home office stipend

  • Cover up to 100% of your health insurance costs for you and your partner or family

  • Equity in the company so we are all invested in the future of computer vision

Within one week, you will…

  • Learn the customer’s environment and deployment landscape.

  • Shadow Support team members.

  • Meet customer technical stakeholders.

Within one month, you will…

  • Lead your first enablement micro‑session.

  • Establish the customer-specific knowledge base.

  • Own standing technical check‑ins.

Within six months, you will…

  • Operate as the primary technical representative for your region.

  • Contribute insights to Roboflow tooling, product, and support improvements.

  • Mature the customer’s CV operations and deployment reliability.

Not sure if this is you?

We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, look into our Former Founders role. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Learn More About Us

We are building a diverse Distributed team that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.

We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading these blog posts.

See our careers page for all open listings.

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