Job intelligence
Senior Gen AI Software Engineer
Liftoff LLC
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
The role stands out because pay compares strongly with similar current roles. Before going further, confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
Around the 85th percentile within 255 comparable USD salary observations.
No material geography, office-attendance or timezone restriction is visible in the available wording.
The listing does not make the minimum education or experience threshold clear enough yet.
Sponsorship and relocation support are not clear from the current listing.
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
5 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
- Advertised location
- Application closing time
- Employment type
Core evidence complete
All five core facts are stated. Other details can still matter, so continue with the qualification, mobility, employer and application checks below.
Advertised location is not proof of work authorization, sponsorship, or legal eligibility. Unknown information is not a negative score; verify those questions separately.
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 85th percentile among 255 comparable USD salary observations.
- Location flexibility looks unusually broad: The available wording supports high Remote Freedom without a material geography, office-attendance or timezone restriction showing up.
Trade-offs to weigh
No major trade-off is stated clearly in the information available here. Employment terms outside the listing may still matter.
Questions worth asking before you invest more time
- Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
- Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
- 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.
16yrs Senior REACT JS Developer -Remote - In Person interview
Go Intellects Inc. · Remote — Worldwide
Why it is nearby: Same seniority band · Similar work arrangement · Same employment type
About 26% lower advertised midpoint
Sr. Full-Stack Software Engineer
micro1 · Remote — Worldwide
Why it is nearby: Same seniority band · Similar work arrangement · Recently posted
About 35% lower advertised midpoint
Senior Backend Engineer II & III (.NET)
M Kopa · London
Why it is nearby: Same seniority band · Same employment type · Recently posted
About 99% lower advertised midpoint
Different angle: Different work arrangement
Senior Platform Engineer
Trainline · London
Why it is nearby: Same seniority band · Same employment type · Recently posted
Different angle: Different work arrangement
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 Software engineering roles family. It describes visible choice and disclosure, not future demand or career quality.
200 most recent current roles sampled for the disclosure measures below.
Distinct employers in the bounded current sample, not an estimate of all employers hiring in the market.
Current sampled roles stating at least four of the five Core Decision Facts.
Requires a numeric amount, explicit ISO currency and supported pay period.
Listings with explicit enough remote, hybrid or on-site evidence to classify.
Missing deadline evidence remains unknown and is not interpreted as an open-ended application window.
Currencies with explicit pay evidence in the sample: USD (21) · EUR (7) · PLN (4) · GBP (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.
Counts only affirmative or possible sponsorship evidence, or relocation explicitly offered. Unknown is not treated as no.
Only same-currency opportunities with usable annualized pay enter this comparison. Other currencies are not converted or treated as lower.
A much stricter subset: only listings with explicit worldwide-remote evidence remain.
Requires amount, explicit ISO currency and a supported pay period. Missing pay evidence remains unknown.
Shows the subset with enough stated evidence for a more informed first comparison.
Counts roles explicitly classified as worldwide remote, region-restricted remote or remote with restrictions still unclear.
Uses only roles with a stated employment type.
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 3452 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 18% of the bounded current role sample does the same.
Compensation counts only when amount, ISO currency and supported pay period are all known.
Pay disclosure is uncommon in the current role sample.
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, 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.
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 not established
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?
- 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?
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.
European occupation references
- software developer
- embedded systems software developer
- industrial mobile devices software developer
- ICT application developer
- IoT developer
This service uses the ESCO classification of the European Commission.
U.S. occupation references
- Software Developers 15-1252.00
- Computer Programmers 15-1251.00
- Software Quality Assurance Analysts and Testers 15-1253.00
- Computer Systems Analysts 15-1211.00
- Computer Systems Engineers/Architects 15-1299.08
This site incorporates information from O*NET Web Services by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). O*NET® is a trademark of USDOL/ETA.
Career reference research
Skills worth investigating
Official occupational context, paired with exact phrases visible in this vacancy. It is not a skills test or an applicant-fit score.
ESCO · European occupation
software developer
Usually essential in this ESCO occupation
- integrated development environment software
- debug software
- ICT debugging tools
- perform scientific research
- project management
- use technical drawing software
- manage engineering project
Context-dependent ESCO skills
- smart contract
- Prolog (computer programming)
- JavaScript
- blockchain platforms
- use automatic programming
O*NET · U.S. occupation
Software Developers
O*NET occupation skills
- Programming
- Critical Thinking
- Judgment and Decision Making
- Active Learning
- Reading Comprehension
- Systems Analysis
- Active Listening
- Complex Problem Solving
Build my private skill preparation brief Your evidence · Practice · Interview questions
Plan how you might demonstrate or investigate occupational skills. These are broad-family reference examples, not confirmed vacancy requirements. Nothing you enter is sent to High Paid Job.
Private to this browser. Up to 20 reference skills; not a qualification assessment or hiring prediction.
Useful next question: Which of these occupational reference skills does the hiring manager actually expect for this specific role, and what evidence would demonstrate them?
These skills belong to one reference occupation selected for HPJ’s broad career family, not a verified classification of this vacancy. Text overlap only means a phrase appears in the available listing text; it does not establish an employer requirement, your proficiency, or a qualification gap. A missing mention is unknown, not a deficit.
Adjacent current roles to investigate
Product Owner III - BI (Memphis, TN or Remote in USA)
St. Jude Children's Research Hospital · Remote — Worldwide
same seniority band · same employment type · similar work-arrangement evidenceSenior Product Manager, Retention (5M to 50M users)
Jerry · Remote — Worldwide
same seniority band · same employment type · similar work-arrangement evidenceSenior Product Manager, New Products (0-1)
Jerry · Remote — Worldwide
same seniority band · same employment type · similar work-arrangement evidenceAdjacent-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
API Test Engineer
Bright Vision Technologies · Remote — Worldwide
Similar work arrangement · Same employment type · Recently posted Advertised midpoint is about 42% lowerAssociate Software Engineer
Constellation · Remote — Worldwide
Similar work arrangement · Same employment type · Recently posted Advertised midpoint is about 50% lowerStretch direction
Senior Developer Advocate
1Password · USA
Similar work arrangement · Same employment type · Recently posted Advertised midpoint is about 34% lowerStaff Software Engineer, Product/AI
Customer.io · LATAM, Canada, USA
Similar work arrangement · Same employment type · Recently posted Advertised midpoint is roughly level with this roleThese 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?
Large Language Models is one of the signals this listing shares with skills appearing often across current Software engineering roles opportunities.
Skills named in this listing
Shared with the current career sample
- Large Language Models Seen in 19 sampled listings
- Python Seen in 45 sampled listings
- React Seen in 30 sampled listings
- TypeScript Seen in 34 sampled listings
Combinations also appearing together
- React + TypeScript appeared together in 20 sampled listings
Additional signals in this listing: Generative AI · SQL
Application edge
- If these skills match your background, prepare one concrete example that shows how you used Generative AI, Large Language Models, and Python rather than relying on a keyword-only claim.
If the named skills are genuinely transferable in your own experience, the occupation map also points to adjacent current families worth researching: Data & AI roles, Cybersecurity roles, and Product 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; 109 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.
Generative AI
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.
Large Language Models
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.
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.
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.
SQL
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.
TypeScript
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
- 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
A closer look at Senior Gen AI Software Engineer at Liftoff LLC points most strongly to compensation has enough depth for comparison, the location rules are clear enough to judge, and the visible application effort can be estimated. Those signals shape the practical upside and the questions still worth asking.
Compensation has enough depth for comparison
The annualized midpoint sits near the 85th percentile within 255 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: Highly location-flexible, with a Remote Freedom reading of 96/100.
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.
Source continuity adds useful context
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
Built from the pay, location, qualification, mobility, application and source details available for this vacancy. Anything the listing leaves unresolved stays unresolved.
Analysis evidence coverage
How much analysis can the current evidence support?
Uses the explainable High Pay Score within the job’s current occupation/seniority/currency comparison sample.
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 1 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
- Advertised pay is above much of the current comparable disclosed-salary sample.
- The available work-location evidence indicates strong location flexibility.
Visible cautions
No specific caution is supported by the currently available evidence. This does not prove that none exists.
Still unknown
- Visa sponsorship is not established by the available listing data.
Pay vs. barriers
Strong pay; barrier efficiency remains uncertain
Pay compares strongly, but the listing does not provide enough detail about barriers or access routes to call the role unusually accessible.
Comparable disclosed-pay evidence places this job at about 85 / 100 within its current occupation/seniority sample.
- Education requirement is not established.
- Required prior-experience level 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
Strong multidimensional signals
The role combines a strong current pay position with at least one clear non-pay advantage. Whether that makes it a better choice depends on your priorities.
The annualized salary midpoint is at or above about 85% of the current comparable disclosed-salary sample.
The observable Remote Freedom evidence is strong and contains few explicit restriction signals.
Still check: 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.
Its annualized salary midpoint is at or above about 85% of the current comparable disclosed-salary sample.
The source provides structured salary information with a comparatively focused range, improving the usefulness of pay comparisons.
The observable work-location signals indicate unusually strong location flexibility.
The listing was posted about 1 days ago.
Compensation intelligence
How competitive is this pay?
Above-market pay in current sample
The annualized midpoint is above the 75th percentile boundary of the current comparable sample.
The highlighted band is the middle 50% of the current comparable sample after the outlier guard. The dark marker is this job’s annualized salary midpoint.
Why this analysis?
- This score reflects the current advertised-pay distribution for comparable active jobs in the same currency. It measures pay position, not overall job quality.
- 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 Liftoff LLC
Only 2 current listings from this employer are indexed. At least three are required before employer-level pay transparency is summarized.
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
Liftoff LLC — current opportunity snapshot
Only 2 current listings from this employer are visible. At least three are needed before an employer pattern is shown.
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
Highly location-flexible
Why this score?
- The source describes the role as open worldwide or globally.
Flexibility signals detected
- Worldwide or global remote eligibility is explicitly indicated.
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 listing details do not contain a clear enough sponsorship statement.
The available listing details do not contain a clear enough relocation statement.
Tradeoff check
What’s the catch?
No obvious trade-off appears in the available job details. That does not mean the role has no drawbacks, so the original listing and employment terms are still worth reading carefully.
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.
Staff Software Engineer (Journeys)
Headway.co · USA
Region-restricted remoteWhy comparable: Same seniority band · Similar work-location arrangement · Same employment type
Staff Software Engineer - Experimentation
Headway.co · USA
Region-restricted remoteWhy comparable: Same seniority band · Similar work-location arrangement · Same employment type
Software Engineer, System Validation - EDA Infrastructure
NVIDIA · Remote — Worldwide
Worldwide remoteWhy comparable: Same seniority band · Similar work-location arrangement · Same employment type
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: himalayas.app · 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.
Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand.
Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence.
Join Liftoff as a Senior Gen AI Software Engineer and help shape the future of ad tech. As a key member of our Gen AI team, you’ll design and build AI-powered products for our demand-side business, helping teams turn complex data into better decisions and meaningful customer growth.
You’ll work across the stack, building intelligent systems and data pipelines in Python, alongside the TypeScript and React experiences that bring those capabilities to users. You’ll partner closely with product, engineering, and customer-facing teams to identify high-impact opportunities, move quickly from prototype to production, and continuously improve what you ship.
This is a hands-on role for an engineer who enjoys working at the intersection of AI, product, and software engineering. You’ll help define how Liftoff applies modern AI to real business problems, balancing experimentation with the judgment and engineering discipline needed to build useful, reliable products.
This role is ideal for an engineer who thrives in ambiguity, enjoys experimenting with new technology, and is motivated by turning promising AI capabilities into products that create real value. You’ll tackle complex problems, validate new approaches, and drive meaningful improvements across Liftoff.
WHAT YOU'LL DO
- Own generative AI product capabilities end to end, from understanding user workflows and prototyping an approach through implementation, rollout, measurement, and ongoing improvement.
- Rapidly prototype and validate AI solutions, using focused experiments to test user value and technical feasibility, then turn what works into production-ready capabilities.
- Build agentic workflows that can reason over campaign, customer, creative, and performance data, use well-defined tools, produce structured results, and hand control back to a person when appropriate.
- Partner closely with decision makers and subject matter experts to understand their workflows, constraints, and business context, then integrate AI agents into daily work in practical and useful ways.
- Design how AI systems access and use relevant information, including the data, tools, and instructions needed to produce useful grounded results.
- Build the systems that make AI workflows reliable in production, including tool use, state management, failure recovery, and appropriate boundaries for human review.
- Define clear, testable interfaces between models and software so uncertain model behavior can be handled safely within dependable product systems.
- Develop evaluation systems that measure whether AI features accomplish the intended task, using realistic examples and an appropriate combination of automated checks and human judgment.
- Build the instrumentation needed to understand quality, adoption, business impact, latency, cost, and failure modes in production.
- Apply appropriate safeguards for customer data, system access, and high-impact workflows.
- Build the Python services and TypeScript and React interfaces that turn these capabilities into cohesive products for customer facing teams.
- Evaluate new models and techniques pragmatically, adopting them when they materially improve product quality, capability, speed, or cost.
- Mentor other engineers and help establish shared practices for designing, testing, and operating AI-powered products.
WHO YOU ARE
- Minimum Bachelors Degree and 8 yrs of relevant experience.
- You are a seasoned software engineer who has built and operated meaningful production products, ideally including zero-to-one work spanning backend services, data, and user interfaces.
- You have shipped LLM-powered or AI-assisted products beyond a demo and understand the practical challenges of reliability, context, tool use, provider changes, latency, cost, and changing model behavior.
- You are highly proficient in Python and comfortable working in TypeScript and React, with strong fundamentals in API design, data modeling, SQL, and testing.
- You understand how to build the broader system around a model, including its data, tools, instructions, permissions, feedback loops, and measures of quality.
- You can define success criteria, investigate failures, and use testing, feedback, and production signals to improve AI experiences over time.
- You exercise strong product and engineering judgment, choosing when a problem calls for traditional software, an LLM-powered approach, or a thoughtful combination of both.
- You communicate complex technical ideas clearly and collaborate effectively with domain experts and non-technical partners.
- You are comfortable working through ambiguity, making informed decisions with incomplete information, and changing direction when evidence shows a better path.
- You are a lifelong learner with strong but flexible opinions, and you thrive on giving and receiving constructive feedback.
Helpful, but not required
- Experience as an early engineer, startup founder, or in a similarly high-ownership environment where you moved quickly from ambiguous problems to shipped products.
- Experience with advertising technology, campaign optimization, performance marketing, analytics products, or other data-rich B2B software.
Location:
The preferred location for the role is in Pacific Standard Time Zone. This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA.
We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.
Travel Expectations:
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.
Compensation:
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience.
The following are our base salary ranges for multiple levels:
- SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $230,000 - $270,000
- All other cities and towns in our approved states: $211,000 - $248,000
1
Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next.
Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.
Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.
Agency and Third Party Recruiter Notice:
Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.
Originally posted on Himalayas
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 past 3 days
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: Himalayas. Destination: himalayas.app. The application opens in a new tab so you can keep this report open.