Member of Technical Staff

Nectar Social

Palo Alto (CA)

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Hybrid schedule
Housing stipend
Mobile stipend
Commuter benefits
Free lunch
Career growth opportunities
Health benefits

Job summary

Nectar Social in Palo Alto is seeking a software engineer to architect and scale core systems for ingesting and analyzing large volumes of social data to power real-time AI agents.

You will lead architectural decisions while mentoring engineers, collaborating with product and design to shape the data infrastructure as the platform grows.

Qualifications

  • 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: startup experience building early-stage or rapidly scaling products.
  • Bonus: experience with large-scale data pipelines or real-time analytics systems.

Responsibilities

  • 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.

Skills

Distributed systems
Data infrastructure
System architecture
Mentoring engineers
Product collaboration
AI/ML integration

Tools

AWS
Pulumi
Postgres
ClickHouse

Job description

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, 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 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

  • ClassPass membership for fitness and wellness classes

  • Hybrid schedule: 4 days in office, plus 3 remote flex days per quarter (after your first 3 months)

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

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

  • Clear career growth opportunities as the company scales

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