--- title: 'Founding Data Engineer • PG/Opensearch at Neuroscale AI' canonical: 'https://feeny.ai/job/founding-data-engineer-pg-opensearch-neuroscale-ai-remote-wwyf1q0pqggv' type: 'job' last_seen: '2026-09-12' --- # Founding Data Engineer • PG/Opensearch at Neuroscale AI - **Company:** Neuroscale AI - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-04-05 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/neuroscale/1b19702b-cce8-4591-8b2d-2a3e6d49b1af ## Job description ## About Neuroscale Neuroscale is building the AI recruiting operating system — one unified platform for your entire talent organization, from first touch to hired. Arbi eliminates fragmented workflows, integrates directly with your ATS, and orchestrates AI agents for sourcing, outreach, screening, and candidate intelligence end-to-end. By combining reasoning-optimized models with deep workflow automation, Arbi helps talent teams win more top candidates with dramatically less friction. We're backed by top operators and investors, and we're growing fast. Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception Program, the HPE Unleash AI Program, and our active DoD SBIR Phase II award and contract. We are looking for a Founding Data Engineer who can build the data backbone of the platform and help us scale reliably across ingestion, transformation, indexing, storage, and retrieval workflows. This is not a maintenance role. This is a hands-on, high-ownership opportunity for someone who has operated at a staff engineer, architect, or founding/lead engineer level and knows how to build production-grade systems that scale. You will work on the backbone of our platform: APIs, orchestration systems, data workflows, search infrastructure, background jobs, cloud deployment, and backend systems that power AI-enabled products for real customers. ## Role Overview This is a hands-on founding engineering role for someone who knows how to design, build, and operate production-grade data systems. You will work closely with backend engineers, AI engineers, and product leaders to create the data infrastructure that powers search, analytics, and AI-driven product experiences. You should be comfortable working in a fast-moving startup environment, making pragmatic technical decisions, and owning systems end to end. ## What You'll Do - Design, build, and maintain scalable batch and streaming data pipelines that support Neuroscale AI's core platform - Build robust ingestion, transformation, enrichment, and indexing workflows across structured, semi-structured, and document-centric data - Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling - Design efficient data models, schemas, and storage patterns that support analytics, search, application workflows, and AI use cases - Build secure cloud-native data infrastructure using AWS services such as S3, Lambda, Glue, Kinesis, and IAM - Optimize PostgreSQL for advanced SQL workloads, replication, query performance, and data integrity - Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant access to data - Improve observability, lineage, testing, and reliability across the data platform - Automate infrastructure provisioning and environment management using Terraform or CloudFormation - Partner closely with backend, product, and AI teams to enable new data-driven capabilities and platform features - Help define engineering standards, data platform best practices, and operational playbooks as the company scales ## Requirements - Strong experience in data engineering or backend/data platform engineering in production environments - Strong programming skills in Python; experience with Typescript is a plus - Deep hands-on experience with PostgreSQL, including advanced SQL, schema design, query tuning, indexes, sharding, replication, and modeling - Strong experience with OpenSearch/Elasticsearch, including indexing strategy, search performance, relevance tuning, and distributed query operations at very large scale - Experience building and maintaining ETL/ELT pipelines and data processing workflows for large-scale datasets - Hands-on experience with AWS data and infrastructure services, especially S3, Lambda, Glue, Kinesis, and IAM - Experience designing reliable cloud-native data architectures and secure data movement patterns - Experience with Infrastructure as Code, ideally Terraform or CloudFormation - Strong understanding of distributed systems, production operations, fault tolerance, and data reliability - Ability to work with high ownership, move quickly, and make sound engineering decisions in a startup environment ## Nice to Have - Experience with Kafka, event-driven systems, or other streaming architectures - Experience supporting vector search, semantic retrieval, or AI/ML data pipelines - Experience with workflow orchestration, async processing, and integration-heavy platforms - Experience with containerized environments, CI/CD pipelines, and production monitoring - Experience working on document-centric or AI-enabled platforms ## Compensation & Benefits - Base Salary: $100,000 – $200,000 - Equity: ~0.1–0.75% early-stage equity with a clear range shared during the process - Bonus: Quarterly performance bonuses tied to clear feature shipping targets - Healthcare: Medical, dental, and vision coverage - PTO: 14 days accrued annually - Learning: $2,000+ per year for courses, conferences, books, and communities - Equipment: New MacBook Pro, monitor, and a monthly tools budget - Flexibility: Flexible hours; ideally in-person in the Northern Virginia / Washington DC region (remote considered) - Growth: Clear, fast-track path to Engineering Lead as the team scales ## Why Join Neuroscale AI - Founding role with significant ownership over architecture, tooling, and platform decisions - Direct exposure to company leadership with real influence over product direction - Work on modern AI, search, and data infrastructure problems with direct customer impact - Build systems from day one — no legacy architecture to inherit - Zero bureaucracy, high trust, and a strong culture of ownership and technical excellence - A seat at the table as we scale our product, team, and engineering culture ## About Neuroscale AI ## Company Overview - **One-liner**: Neuroscale AI builds AI-powered recruiting technology. Its flagship platform, Arbi, transforms talent acquisition by enabling intelligent sourcing, automated multi-channel outreach, and AI-powered candidate screening. - **Entity Type**: Private (Funding stage not disclosed) - **Headquarters**: Sterling, Virginia, United States - **Founded**: 2024 - **Founders**: Ishan Jadhwani (CEO), Cameron Wolfe (CTO) ## Core Business - **Primary industry**: Artificial Intelligence / HR Tech / Recruiting Software - **Target customers**: B2B – recruiting teams at startups, SMBs, enterprises, staffing agencies, and government organizations - **Mission**: “The only advantage in hiring, is speed.” (LinkedIn tagline) ## Products & Services - **[Arbi](https://neuroscale.ai)**: AI recruiting platform (SaaS) that unifies: - **Sourcing** – Talent discovery across 900M+ profiles from 30+ data sources with precision filters based on demonstrable impact. - **Sequences** – Multi-channel automated outreach (email, social) with hyper-personalization and performance analytics. - **Agents** – AI-powered candidate screening with explainable, structured evaluation and custom scoring rubrics. - **Signals** – Real-time person and company intelligence built into sequences and agents. - Integrates with 50+ ATS platforms (Greenhouse, Ashby, Lever, Bullhorn, Workday, etc.) and email providers. ## Market Standing - **Valuation**: Not publicly available - **Key Metric**: Not publicly available (annual revenue not disclosed; total funding not disclosed) - **Notable Customers/Partners**: NVIDIA, Deloitte, Palantir, U.S. Air Force (cited on website FAQ). Integrations with major ATS providers. - **Growth Signals**: - Headcount grew ~475% year-over-year (from 3 to 17–23 employees as of early 2026) - LinkedIn followers grew 658% in the last year - Active hiring for senior leadership roles: CTO, Director of Engineering, Founding Data Engineer, etc. ## Competitive Advantages - AI with **explainable scoring** – clear reasoning for every match or rejection, avoiding black-box screening. - **Enterprise-grade security** – SOC 2 Type 2, ISO 27001+, GDPR, CCPA compliance; supports on-premise deployment, SSO, SCIM, and audit logs. - **Multi-channel outreach** automates email and social in one platform, reported to achieve 65% higher reply rates. - **Unified system of action** replacing multiple point tools (sourcing, screening, outreach) with a single workflow. ## Strategic Focus - Automate the entire recruiting pipeline end-to-end – from discovering talent to booking interviews. - Expand AI agent capabilities for deeper candidate research and qualification. - Continue building data signals and integrations to serve enterprise and government clients. ## Why Work Here - **Culture**: Early-stage, high-growth startup with significant ownership opportunities. Employees report a science-driven approach to recruiting. - **Work policy**: Hybrid (Reston, VA office) and remote roles available across the USA; some positions are fully remote. - **Engineering team**: Uses modern stack (Python, TypeScript, React, Docker, Kubernetes, PostgreSQL, ClickHouse, NLP, LLMs). Actively building AI agents and data infrastructure. - **Notable perks**: Not extensively documented, but roles include equity, flexible work, and direct impact on product direction. Current open roles: Founding Data Engineer, Founding Software Engineer, CTO, Director of Engineering, QA Engineer, Technical Customer Success Manager, and more. ## Sources 1. [neuroscale.ai – Homepage & Schema](https://neuroscale.ai) 2. [Built In – Neuroscale Careers & Profile](https://builtin.com/company/neuroscale) 3. [LinkedIn – Neuroscale AI Company Page](https://www.linkedin.com/company/neuroscale) 4. [Docs – Neuroscale AI](https://docs.neuroscale.ai) 5. [Apollo.io – Neuroscale AI Profile](https://www.apollo.io/companies/neuroscale/neuroscale-ai) (via search results) ## Other roles at Neuroscale AI - [Founding SDR](https://feeny.ai/job/founding-sdr-neuroscale-ai-remote-6e3jrd4jk9w2) - [QA Engineer](https://feeny.ai/job/qa-engineer-neuroscale-ai-united-states-v0fdzxmpma14) — United States - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-neuroscale-ai-reston-8w5hp9wb1sbr) — Reston, VA - [Growth Account Executive](https://feeny.ai/job/growth-account-executive-neuroscale-ai-united-states-4cxzfdzksnfv) — United States - [Founding Staff Software Engineer • Python/FastAPI](https://feeny.ai/job/founding-staff-software-engineer-python-fastapi-neuroscale-ai-remote-5b4mejjazahb) - [Technical Customer Success Manager](https://feeny.ai/job/technical-customer-success-manager-neuroscale-ai-united-states-87gbsxx7bbeh) — United States - [Director of Strategic Partnerships & Alliances](https://feeny.ai/job/director-of-strategic-partnerships-alliances-neuroscale-ai-remote-7820gzn7vpej)