Job intelligence
Senior Manager, AI Engineering
HackerOne
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.
Fast read
Opportunity DNA
This opportunity needs a closer read before drawing a strong conclusion, especially around the salary benchmark is still shallow.
The range is usable, but the comparable sample is still too shallow for a strong relative-pay call.
Geographic eligibility is restricted to a country or region.
One or more material qualification requirements are stated and may narrow the realistic applicant pool.
Work authorization, sponsorship or relocation wording may materially limit who can take the role.
Part of the application route can be assessed, but the full external process may contain additional steps.
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
Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.
Trade-offs to weigh
- The salary benchmark is still shallow: Pay is disclosed, but the current comparison pool is too small for a strong relative-pay conclusion.
- 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 5 years of experience.
- Sponsorship could be a hard constraint: The listing says sponsorship is unavailable or that work authorization is required without sponsorship.
Questions worth asking before you invest more time
- Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.
Salary transparency context
Is pay disclosure typical for this kind of role?
This listing states usable structured compensation, but the current role sample is still too small for a reliable disclosure-rate comparison.
Compensation counts only when amount, ISO currency and supported pay period are all known.
At least ten current comparable roles are required before HPJ publishes a disclosure percentage.
Employer-level comparison is withheld until enough current employer listings are available.
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.
Negotiation evidence available: advertised pay range, 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.
Usable advertised compensation is available.
Variable compensation is mentioned; verify amount, formula, target and eligibility.
Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.
Retirement or pension benefits are mentioned; verify employer contribution and vesting.
Health-benefit language is mentioned; verify coverage, dependants and employee cost.
Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.
A work-arrangement signal is available; verify schedule details before relying on it.
Relocation support not established
Sponsorship explicitly unavailable
A review cycle is mentioned; verify timing and whether compensation can change at that review.
Questions worth taking into the offer conversation
- Is there a bonus, commission or other variable-pay component, and how is it calculated?
- What retirement or pension contribution does the employer provide?
- If relocation is relevant, what expenses, timing and repayment conditions are covered?
- 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?
Skill bridge
What does this role connect to?
The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.
Skills named in this listing
Shared with the current career sample
The occupation sample is still too thin for a reliable shared-skill comparison.
Application edge
- If these skills match your background, prepare one concrete example that shows how you used Cybersecurity, PostgreSQL, and React rather than relying on a keyword-only claim.
- The listing states about 5 years of required experience. Check that the dates and scope in your application make that experience easy to verify.
- The listing mentions extra application steps. Review those requirements before starting so you can prepare the requested material in one pass.
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.
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.
At least about 5 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.
Cybersecurity
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.
PostgreSQL
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.
React
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.
Prepare for a stated application step
A background or pre-employment screening step is explicitly mentioned.
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?
Decision analysis
What the listing really tells you
Senior Manager, AI Engineering at HackerOne becomes easier to judge once pay is visible, but the benchmark is still thin, remote flexibility can be weighed properly, and qualifications reveal more than the job title alone are viewed together. Here is the current read from the information available.
Pay is visible, but the benchmark is still thin
A usable USD salary is available, but there are not enough comparable current observations for a strong percentile statement yet.
Remote flexibility can be weighed properly
Location flexibility can be assessed here: Limited location freedom, with a Remote Freedom reading of 52/100. 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 5 years of experience required · 1 additional stated barrier. Only requirements actually stated in the listing are counted; anything left unsaid remains unresolved.
Sponsorship and relocation signals are visible
Sponsorship explicitly unavailable. These details help frame the practical questions to ask; they are not immigration advice or a guarantee of eligibility.
The visible application effort can be estimated
Provider-mediated application path · 1 visible process step. The external application may contain additional steps that are not visible from the listing itself.
Source continuity adds useful context
The opportunity currently has 1 renewable source path across 1 source classes. Multiple independent paths can strengthen continuity, but they are not a substitute for checking the application destination.
How this analysis is assembled
This read combines the structured details currently available for pay, flexibility, qualifications, mobility, application effort and source continuity. Missing facts are left open for you to verify.
Analysis evidence coverage
How much analysis can the current evidence support?
This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.
The configured source supplied structured salary fields, a usable currency and a focused comparison value.
The listing was posted about 4 days ago.
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
No standout strength is supported strongly enough to list here. That is not a negative rating.
Visible cautions
- Geographic eligibility is restricted to a country or region.
- Payroll or employing-entity wording may restrict the countries from which the employer can hire.
- This is remote work with a geographic restriction, not a worldwide-remote vacancy.
- At least about 5 years of experience required
Still unknown
- There is not enough comparable salary evidence to establish this job’s current pay position.
Pay vs. barriers
Opportunity Efficiency not assessed
The current pay position is not reliable enough to weigh compensation against the stated barriers.
1 explicit required barrier is visible in the available wording.
The listing states at least about 5 years of required experience.
2 explicit Remote Freedom restriction signals are present and are shown separately from qualification requirements.
- Current comparable pay position is unavailable.
- 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.
Still check: At least about 5 years of experience required · 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.
Compensation intelligence
How competitive is this pay?
This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
Why this analysis?
- This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
- 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 HackerOne
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.
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
HackerOne — current opportunity snapshot
Employer Evidence Profile
How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.
Current sampled listings with advertised compensation evidence.
Current sampled listings whose work arrangement is clearer than unknown.
Current sampled listings with a supported country signal.
Current sampled listings with an explicit closing time.
Current sampled listings with a usable posting date.
Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.
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: Executive (4) · Cybersecurity (2)
Visible seniority mix: Senior / lead (1) · Leadership (5)
Current employment-type mix: Full time (7)
Most visible hiring countries in this sample: United States (7)
Other current roles from this employer
Director, Total Rewards, Systems & Analytics
USA
Leadership · Region-restricted remoteUSD 223,000–272,000 / yearSenior Security Engineer, Identity and Access Management
Netherlands, UK, USA
Senior / lead · Region-restricted remoteUSD 180,000–220,000 / yearVice President, Partnership Sales
USA
Leadership · Region-restricted remoteUSD 216,000–280,000 / yearSenior Director, Community
USA
Leadership · Region-restricted remoteUSD 247,000–302,000 / yearThese are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.
Current disclosed salary medians by currency
- USD 248,000 median · 7 disclosed salaries
Questions worth asking this employer
- 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
Limited location freedom
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.
- Payroll or employing-entity wording may restrict the countries from which the employer can hire.
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.
The available job text explicitly indicates sponsorship is unavailable or that work authorization is required without sponsorship.
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:
- This is remote work with a geographic restriction, not a worldwide-remote vacancy.
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
Visible application steps or requirements
- A background or pre-employment screening step is explicitly mentioned.
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.
HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).
HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.
HackerOne Values
HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.
Senior Manager, AI Engineering
Remote Location:
Austin, TX; or Washington, DC
Position Summary
HackerOne is redefining how the world’s leading organizations manage cyber risk — and AI is at the center of that transformation. As Senior Manager, AI Engineering, you will own two of the most strategically important product surfaces in our platform:
-
AI-Native Intelligence Dashboard — Transform our executive and analytical dashboard into an AI-first experience that helps customers derive maximum value from their HackerOne engagement. Think proactive risk insights, natural language querying, automated remediation prioritization, and measurable reduction in Mean Time to Remediate (MTTR).
-
Payments & Monetization — Lead the team responsible for researcher payments and consumption-based billing, ensuring security researchers are paid reliably and HackerOne’s contract monetization engine runs cleanly at scale.
You will lead the team of senior engineers, set technical direction, and ship AI-powered capabilities that customers can see, feel, and measure. This is a high-autonomy role with real product ownership and direct customer impact.
Reflecting our Flexible Work philosophy, this is a remote role targeted for candidates within ~50 miles of Washington DC, Boston, or Austin, with in-office presence typically on Thursdays.
At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of the listed locations above. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.
What You Will Do
Success in this role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne.
-
Multiply Your Impact by leading, mentoring, and developing Engineering Managers and senior engineers, building scalable systems and practices that allow teams to deliver AI-powered solutions consistently and independently
-
Own the Outcome for execution across multiple AI engineering teams, ensuring delivery commitments are met, dependencies are actively managed, and teams are accountable for customer-visible impact
-
Drive an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into how teams design, build, and operate products
-
Practice Change Agility by guiding teams through evolving AI technologies, shifting priorities, and emerging security threats while maintaining clarity, momentum, and team health
-
Apply First Principles Problem Solving to complex AI and product challenges, breaking problems down to fundamentals and designing durable, scalable solutions rather than short-term workarounds
-
Leverage Data-Driven Decision Making to assess system performance, model quality, delivery outcomes, and operational health, using evidence to inform priorities and improvements
-
Collaborate cross-functionally with Product, Design, Data, Security Research, and other Engineering leaders to align AI engineering efforts with company strategy and customer needs
Minimum Qualifications
-
5+ years of experience managing product engineering teams, including teams delivering AI-powered or data-intensive systems
-
Demonstrated experience leading teams with complex dependencies across engineering, product, and non-technical partners
-
Experience developing and mentoring Engineering Managers
-
Strong technical foundation in modern software systems that support AI-enabled products
Preferred Qualifications
-
Experience building or scaling applied AI systems in production environments
-
Familiarity with human-in-the-loop, agentic, or automation-driven workflows
-
Background in fintech, payments, or monetization systems
-
Experience with technologies in HackerOne’s core stack, including PostgreSQL, Rails, GraphQL, Apollo, and React
Compensation Bands:
Tier Guide
Base salary: $240,000 – $280,000
Job Benefits:
-
Health (medical, vision, dental), life, and disability insurance*
-
Equity stock options
-
Retirement plans
-
Paid public holidays and unlimited PTO
-
Paid maternity and parental leave
-
Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
-
Employee Assistance Program
*Eligibility may differ by country
We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).
Visa/work permit sponsorship is not available.
Employment at HackerOne is contingent on a background check.
HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.
For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
Listing provenance
Where did this job come from?
See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.
At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.
- Continuity
- One recent renewable source
- Source-class independence
- One renewable source class
- Last source observation
- Observed in the current source window
This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.
- 1 enabled source recently observed this vacancy.
Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.
The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.
Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.