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techroles

Senior Software Engineer, Full Stack

Evertune evertune.ai Open · verified Oct 24, 2026
Hybrid New York, NY, Denver, CO, or Seattle, WA Full-time Senior Full-stack Engineering

At a glance

Senior Full-stack Engineering role at Evertune. New York, NY, Denver, CO, or Seattle, WA · full-time · $120,000–$300,000 base.

SalaryStated by Evertune
$120,000 – $300,000
Base salary for this role, in USD per year, as published in the posting.
RoleFull-stack Engineering
SenioritySenior
LocationNew York, NY, Denver, CO, or Seattle, WA
WorkplaceHybrid
EmploymentFull-time
Base pay$120,000–$300,000
PostedApr 16, 2026 · 6mo ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build product features across the interface, backend services and integrations, taking work from start to release
  • Shape user workflows and backend logic so complex product ideas become clear, useful experiences
  • Design APIs with engineering teammates and keep integrations working smoothly across systems
  • Improve frontend and backend structure, code practices, reliability, speed and responsiveness
  • Work with product and design to connect separate product areas into a consistent experience

What you bring

  • At least seven years building and releasing production software across the full stack
  • Deep knowledge of modern JavaScript frameworks and experience with frontend systems and backend services
  • Experience creating backend services with Python or comparable systems, plus strong API design skills
  • You actively use AI tools or LLMs to work more efficiently and improve engineering output

Who this fits

This role suits a senior generalist who enjoys owning product work end to end, working through ambiguity and collaborating across engineering, product and design. You must live in the New York City, Seattle or Denver area and work in the office two to three days each week. You must be authorized to work in the United States without current or future visa sponsorship.

From the employer

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.


About Evertune AI

Evertune 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.

Founded 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.

We 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.

Backed 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.

Your Team

You’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.

As 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.

This 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.

Your Role

As 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.

You’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.

You 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.

Responsibilities

  • Own and develop key areas of Evertune’s product experience across frontend, backend, and APIs

  • Build and ship end-to-end product features across the stack, from user-facing experiences to backend services and integrations

  • Design, develop, and ship thoughtful, high-quality product experiences for cutting-edge AI products

  • Build and evolve backend services and application logic that power core product workflows

  • Collaborate closely with product, design, and engineering to turn complex ideas into clear, impactful user experiences

  • Help create cohesion across multiple product areas into a unified, intuitive product experience

  • Contribute to frontend architecture, backend design, and code standards across the stack

  • Partner with engineering teammates to design clean APIs and ensure seamless integration across systems

  • Debug and improve performance, reliability, responsiveness, and overall product quality

  • Contribute to a team culture that values speed, craft, ownership, and candor

Requirements

  • Must currently be located in the NYC, Seattle, or Denver area and able to work in-office 2-3x/week

  • 7+ years experience building and shipping production software as a full stack engineer

  • Strong experience working across modern frontend systems and backend services

  • Deep expertise with modern JavaScript frameworks

  • Experience building backend services and working with Python-based systems or similar

  • Strong product instinct and a track record of building thoughtful, user-facing software

  • Strong API design and integration skills

  • Comfort with cloud platforms (preferably GCP), CI/CD workflows, and performance monitoring

  • Forward-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

  • Must be AI-forward and actively using AI tools / LLMs to increase leverage and engineering efficiency

  • Excellent communication and collaboration skills, especially in cross-functional settings with design, product, and business stakeholders

  • Strong technical judgment and the ability to operate effectively in a fast-moving startup environment

Nice to Have

  • Familiarity with MongoDB or other NoSQL databases

  • Experience building analytics products, data-heavy applications, or complex B2B workflows

  • Experience building polished, intuitive user-facing product experiences

  • Early-stage startup or founding engineer experience

  • Exposure to the AI / LLM ecosystem or interest in large-scale model behavior

  • Contributions to open-source projects or developer communities

Culture & Values

At 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:

  • Curiosity: We start with questions, not assumptions, and follow the signal wherever it leads.

  • Velocity: We move fast, iterate quickly and prefer learning through doing.

  • Empathy: We’re ambitious, but never at the expense of being respectful, inclusive and grounded.

  • Openness: We welcome different perspectives and challenge each other’s ideas

  • Ownership: We trust people to own decisions and outcomes.

Compensation Philosophy & Benefits:

Our 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.

The annual base salary range for this position is: $120,000 - $300,000 + stock options.

Benefits include: Competitive Equity, Medical/Dental/Vision Coverage, Generous Paid Time Off, Commuter Benefits, etc.

Evertune 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.

Opportunity

Full-stack Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Full-stack Engineering$120k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Full-stack Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.