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Lead Full Stack Software Engineer, Back End

Evertune
Full-time
Remote
United States
$120,000 - $275,000 USD yearly
Technology & Development

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.

Backed by top-tier VC investors and trusted by forward-thinking brands, 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 be joining Evertune’s software engineering team – small, focused, and deeply collaborative. We’re currently a distributed group of 5-10 engineers working across Seattle and New York, with a few contractors supporting specialized projects. While we span time zones, we operate with tight alignment and shared urgency. Our engineers ship fast, sweat the details, and genuinely enjoy building together. As one of the earliest hires on the team, you'll be helping to shape not just how we code – but how we grow, communicate, and scale.

Your Role:
As a Lead Backend Engineer at Evertune, you’ll architect the engine behind our AI Discovery platform. This is a hands-on leadership role — ideal for someone who thrives on performance, scalability, and solving hard technical problems. You’ll design resilient backend systems, optimize real-time interactions with large language models, and build the infrastructure that powers how marketers understand and influence AI-driven decisions.

You’ll contribute directly to core product development while leading and mentoring a small team of engineers. Your work will shape the backend architecture, influence our technical roadmap, and help set the tone for how we scale as a team. While your primary focus will be backend systems, you’ll collaborate closely with front-end, product, and AI engineering leads to ship full-stack features quickly and reliably.

This is a high-impact role for an engineer who wants both deep technical ownership and team-building responsibility in a fast-paced, product-driven environment. You don’t need prior people management experience — but you do need a desire to grow others, lead by example, and elevate our engineering culture.

Responsibilities:

  • Lead and help build a small team while continuing to contribute code daily

  • Architect, build, and maintain scalable backend infrastructure across Evertune's platform

  • Optimize data pipelines, storage systems, and real-time AI interactions for performance and reliability

  • Collaborate closely with frontend and AI engineers to build seamless end-to-end features

  • Own system architecture decisions and guide long-term technical direction

  • Integrate with major AI APIs and manage performance, cost, and observability

  • Define and evolve our API contracts, service interfaces, and internal tooling

  • Champion engineering best practices—testing, security, CI/CD, and monitoring

  • Help shape a team culture that values quality, pragmatism, and velocity

  • Mentor junior and mid-level engineers through thoughtful code reviews, pair programming, and coaching

  • Ability to work onsite in our NYC or Seattle office three days per week (hybrid model)

Requirements:

  • 8+ years of experience in backend software engineering, with deep expertise in Python, Go, or similar

  • Strong proficiency with modern databases (e.g. MongoDB or similar) and designing scalable, high-performance data models

  • Experience designing and maintaining distributed systems in a cloud environment (preferably GCP)

  • Proven track record integrating external APIs, especially real-time or high-throughput systems

  • Solid understanding of system observability (logs, metrics, tracing) and CI/CD workflows

  • Excellent collaboration and communication skills across functions and time zones

  • Demonstrated ability to lead projects and influence backend architecture at scale

Nice to Have:

  • Experience working with generative AI, LLM APIs, or ML infrastructure

  • Familiarity with message queues or event-driven systems (e.g., Pub/Sub, Kafka)

  • Exposure to modern JavaScript frameworks or full-stack development

  • Prior experience at high-growth startups or early-stage product companies

  • Contributions to open-source projects or technical communities

Culture & Values:
At Evertune, we’re building more than just groundbreaking AI products—we're building a culture where innovation, ownership, and empathy thrive. Here’s what we value:

  • Collaboration & Kindness: We’re ambitious, but never at the expense of being respectful and inclusive.

  • Bias for Action: We move fast, iterate quickly, and prefer learning through doing.

  • Customer Obsession: Our product decisions are anchored in real-world customer needs and feedback.

  • High Standards: We care deeply about quality—in our code, our design, and our communication.

  • Ownership Mindset: Everyone is trusted to lead initiatives, make decisions, and own outcomes.


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.

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.

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.