Senior Software Engineer

Reposted 24 Days Ago
Palo Alto, CA, USA
Hybrid
Senior level
Artificial Intelligence • eCommerce
The Role
The Senior Software Engineer will architect and scale systems that process social data, mentor engineers, and influence technical strategy.
Summary Generated by Built In
About Us

We're living through a fundamental shift in how people discover, evaluate, and purchase products. The next generation doesn't respond to traditional marketing -- they build relationships with brands through authentic social interactions, seek recommendations from communities they trust, and expect personalized experiences that feel human, not corporate.

At Nectar Social, we're building the AI-native social operating system that enables this new era of commerce. We believe every social interaction should deepen the relationship between brands and their communities while creating genuine value for both sides.

Founded by ex-Meta product and engineering leaders, we've raised over $30M in total capital from investors including GV and True Ventures. We work with brands like Oura Health, Caraway, e.l.f. Cosmetics, Kosas, OLIPOP, and many more. We're building the future of social commerce -- where community, conversation, and commerce converge.

The Role

We're looking for a Senior Software Engineer to help architect and scale the core systems that power Nectar's platform. You'll work on the infrastructure that ingests, processes, and analyzes large volumes of social data while enabling AI agents to operate on that data in real time.

This role combines deep technical execution with architectural leadership. You'll help define how our systems evolve as we scale customers, data volume, and product capabilities.

What You'll Be Doing
  • Architect and scale the core systems that ingest and process large volumes of social data from platforms like Instagram, TikTok, X, Reddit, and LinkedIn

  • Design data pipelines that power AI agents and real-time analytics used by our customers

  • Lead major technical decisions across the platform, writing design docs and establishing scalable architecture patterns

  • Improve reliability, performance, and cost efficiency across our data and AI infrastructure as the platform scales

  • Mentor engineers and review system designs and code to help raise the engineering bar across the team

  • Work closely with product and engineering leadership to solve complex technical problems and deliver impactful systems

What We're Looking For
  • 5+ years of experience building and operating production software systems

  • Strong experience designing and scaling distributed systems, data infrastructure, or complex production platforms

  • Proven ability to architect systems and drive major technical decisions

  • Experience mentoring engineers and influencing engineering direction

  • Comfortable operating in fast-moving startup environments with high ownership and autonomy

  • Strong product intuition and ability to collaborate closely with product and design teams

  • Interest in AI-native engineering workflows and how AI is transforming software development

Bonus Points
  • Startup experience building early-stage or rapidly scaling products

  • Experience working with large-scale data pipelines or real-time analytics systems

  • Familiarity with modern infrastructure and developer tooling such as AWS, Pulumi, Postgres, ClickHouse, or similar technologies

  • Experience integrating AI or machine learning systems into production platforms

What We Offer
  • Competitive compensation and early equity

  • Health, vision, and dental benefits + 401(k) match

  • Hybrid work schedule (4 days in office) with 3 flex remote days per quarter (available after 3 months)

  • Comprehensive stipends: $1,000/month housing stipend for living near the office, $50/month mobile stipend, $50/month internet stipend for remote employees, and commuter benefits (train stipend or Palo Alto parking permit reimbursement)

  • Free lunch in the heart of University Ave. in Palo Alto

Skills Required

  • 5+ years of experience building and operating production software systems
  • Experience designing and scaling distributed systems, data infrastructure, or complex production systems
  • Proven ability to architect systems and drive technical decisions
  • Track record of technical leadership, mentoring engineers, and influencing engineering direction
  • Startup experience strongly preferred
  • Comfort operating in fast-moving startup environments with high ownership
  • Strong product intuition and ability to collaborate closely with product and design
  • Interest in AI-native engineering workflows
Am I A Good Fit?
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The Company
HQ: Seattle, WA
20 Employees

What We Do

AI Community Commerce platform for social-first Brands.

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