{"id":780655,"url":"https://alion.io/job/evertune-senior-software-engineer-full-stack","title":"Senior Software Engineer, Full Stack","company":{"id":674036,"name":"Evertune","domain":"evertune.ai","url":"https://alion.io/company/evertune","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-04-16T18:12:44Z","employer_posted_date":"2026-04-16","last_verified_at":"2026-09-24T04:23:47Z","board_verified":true,"closed_at":null,"days_open":160,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":160},"description":"PLEASE NOTE: At this time, we are only able to consider candidates who are authorized to work in the United States without the need for current or future visa sponsorship. This includes U.S. citizens and Green Card holders.\n About Evertune AI\nEvertune is building the first AI discovery platform for modern marketers. As large language models (LLMs) become the go-to source for recommendations - we help brands understand exactly what AI is saying about them, where they stand against competitors, and how to show up more often in AI-powered answers. Our platform turns black-box AI behavior into actionable insights, so marketing teams can make faster, smarter decisions that drive growth.\nFounded by leaders who helped scale The Trade Desk into the world’s leading ad tech platform, we bring deep expertise in digital advertising, data, and high-growth environments. Now, we’re pioneering a new category at the intersection of AI, SEO, and brand strategy.\nWe raised a $15M Series A led by Felicis Ventures, with support from Eniac, NextView, Roger Ehrenberg, and leaders from OpenAI, Google, Meta, Uber, and more. This gives us the momentum to move faster and build the first enterprise-grade AI marketing suite.\nBacked by top-tier VC investors and trusted by forward-thinking brands, we have the resources to scale - but what really defines us is our culture. We move fast, think boldly, and believe the best ideas win regardless of title. If you're excited about shaping the future of how brands grow in the age of AI, you’ll thrive here.\nYour Team\nYou’ll join Evertune’s engineering team at a pivotal moment in the company’s growth. We’re a tight-knit, ambitious group building quickly at the frontier of AI and search, with teammates primarily based in New York, Denver, and Seattle. We care deeply about craft, but we know great products are built through iteration - we value momentum, clear thinking, and people who turn ambiguity into product.\nAs an early member of the team, you’ll have a meaningful influence on what we build, how we build it, and how the engineering organization evolves as we scale.\nThis is a hybrid role based in the New York City, Seattle, or Denver/Boulder area. We have offices in NYC and Seattle, with a permanent Denver/Boulder office in development.\nYour Role\nAs a Senior Full Stack Engineer at Evertune, you’ll build across the core product experience - from user-facing workflows to the backend systems and APIs that power them. We’re looking for a strong generalist who can move fluidly between frontend and backend, make smart tradeoffs, and ship thoughtful, high-impact product work in a fast-moving environment.\nYou’ll contribute directly to core product development and partner closely with product, design, and engineering to turn complex ideas into software that feels intuitive, useful, and differentiated. This role is ideal for an engineer who likes owning problems end to end, thrives in ambiguity, and is excited to help define what great AI-native product development looks like.\nYou should be excited by AI-native product experiences, energized by ambiguity, and already heavily using AI tools and LLMs in your own workflow to operate with greater leverage.\nResponsibilities\nOwn and develop key areas of Evertune’s product experience across frontend, backend, and APIs\n\nBuild and ship end-to-end product features across the stack, from user-facing experiences to backend services and integrations\n\nDesign, develop, and ship thoughtful, high-quality product experiences for cutting-edge AI products\n\nBuild and evolve backend services and application logic that power core product workflows\n\nCollaborate closely with product, design, and engineering to turn complex ideas into clear, impactful user experiences\n\nHelp create cohesion across multiple product areas into a unified, intuitive product experience\n\nContribute to frontend architecture, backend design, and code standards across the stack\n\nPartner with engineering teammates to design clean APIs and ensure seamless integration across systems\n\nDebug and improve performance, reliability, responsiveness, and overall product quality\n\nContribute to a team culture that values speed, craft, ownership, and candor\n\nRequirements\nMust currently be located in the NYC, Seattle, or Denver area and able to work in-office 2-3x/week\n\n7+ years experience building and shipping production software as a full stack engineer\n\nStrong experience working across modern frontend systems and backend services\n\nDeep expertise with modern JavaScript frameworks\n\nExperience building backend services and working with Python-based systems or similar\n\nStrong product instinct and a track record of building thoughtful, user-facing software\n\nStrong API design and integration skills\n\nComfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring\n\nForward-thinking about how AI is changing product development - whether that’s incorporating LLMs into workflows, building AI-native products, or using AI tools to move faster and improve quality\n\nMust be AI-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency\n\nExcellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders\n\nStrong technical judgment and the ability to operate effectively in a fast-moving startup environment\n\nNice to Have\nFamiliarity with MongoDB or other NoSQL databases\n\nExperience building analytics products, data-heavy applications, or complex B2B workflows\n\nExperience building polished, intuitive user-facing product experiences\n\nEarly-stage startup or founding engineer experience\n\nExposure to the AI / LLM ecosystem or interest in large-scale model behavior\n\nContributions to open-source projects or developer communities\n\nCulture & Values\nAt Evertune, we’re building more than just groundbreaking AI products - we're building a culture where speed, insight and humanity go hand in hand. Here’s what we value:\nCuriosity: We start with questions, not assumptions, and follow the signal wherever it leads.\n\nVelocity: We move fast, iterate quickly and prefer learning through doing.\n\nEmpathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.\n\nOpenness: We welcome different perspectives and challenge each other’s ideas\n\nOwnership: We trust people to own decisions and outcomes.\n\nCompensation Philosophy & Benefits:\nOur salary ranges are based on paying competitively for our size and industry. Salary is just one part of our total compensation package that includes equity, perks & benefits, and development opportunities at Evertune AI. Individual pay decisions are based on several factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Evertune AI employees. It is our expectation that the majority of candidates who are offered roles at Evertune AI will land well within our salary ranges based on these factors.\nThe annual base salary range for this position is: $120,000 - $300,000 + stock options.\nBenefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.\nEvertune does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Evertune. Evertune is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.","description_format":"text","description_chars":7958,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Sales & Marketing","Data Science"],"lifecycle":[{"event":"open","at":"2026-09-12T00:41:53Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.302,"p_room":0.28,"age_days":160,"expected_fill_days":42,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/evertune-senior-software-engineer-full-stack","json_url":"https://alion.io/job/evertune-senior-software-engineer-full-stack.json","meta":{"generated_at":"2026-09-24T09:51:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}