Full-Time

Technical Lead and Manager

Platform & Data, Takeup

Posted on 9/30/2025

1848 Ventures

1848 Ventures

11-50 employees

AI-powered SMB-focused B2B SaaS studio

No salary listed

Remote in USA

Remote

Candidates must be based in the US.

Category
Data & Analytics (2)
,
Required Skills
Kubernetes
Python
Airflow
BigQuery
SQL
Apache Kafka
Kinesis
Docker
Terraform
Snowflake
Requirements
  • 6+ years building and operating production platforms and data systems in B2B SaaS; 2+ years leading engineers.
  • Strong technical depth in several of: Python, SQL, orchestration (e.g., Prefect/Airflow), ELT (e.g., dbt), cloud data warehouses (e.g., Snowflake/BigQuery), event streaming (e.g., Kafka/Kinesis), containerization and service orchestration (e.g., Docker, ECS/Kubernetes), infra-as-code (e.g., Terraform).
  • Proven track record setting engineering standards (CI/CD, code review, trunk-based dev, testing strategy) and delivering reliable, observable systems at reasonable cost.
  • Experience defining and meeting SLOs; comfortable with incident management and continuous improvement.
  • Comfortable partnering on third-party integrations; you design resilient interfaces and plan for schema drift and backfills.
  • Clear, concise communicator who can simplify complexity, make trade-offs explicit, and align teams.
  • Start-up mindset: bias for action, comfort with ambiguity, and willingness to be both strategic and hands-on.
Responsibilities
  • Own the platform architecture for core services and data: ingestion → transformation → storage → serving → observability.
  • Define data contracts and schemas between ingestion, transformations (e.g., dbt), ML features, and downstream applications.
  • Establish standards for orchestration, CI/CD, code quality, documentation, and reproducibility across platform and data repos.
  • Set and enforce SLOs for reliability, latency, and data freshness; implement guardrails and automated quality checks.
  • Drive cost-aware design (compute/storage) and performance tuning for batch and streaming workloads.
  • Translate the roadmap into scoped work with crisp acceptance criteria, success metrics, and rollout plans.
  • Prioritize, sequence, and unblock; keep WIP small; ship iteratively with progressive delivery and clear rollback paths.
  • Coordinate cross-team dependencies (Product, ML, Integrations) to keep the value stream flowing end-to-end.
  • Build and operate a pragmatic observability stack (logs, metrics, tracing, data quality monitors) with alerting that engineers trust.
  • Align technical choices with customer outcomes: reliability of rate delivery, freshness/accuracy of data, speed of iteration.
  • Partner with Integrations on PMS/booking-engine data flows; design resilient interfaces and backfills.
  • Shape the team (platform engineers, data engineers, integrations engineers); partner with recruiting; run a structured loop.
  • Document engineering standards: coding conventions, review SLAs, on-call expectations, incident hygiene.
  • Run weekly 1:1s with agendas (wins, blockers, quality, growth); capture actions and follow through.
  • Give timely, specific feedback; escalate early when expectations are at risk.
  • Co-create development plans tied to business outcomes; allocate learning time/budget.
  • Manage underperformance with clear expectations, support plans, and review cadence.
  • Define acceptance criteria and success metrics up front; review PRs promptly.
  • Actively unblock; renegotiate scope/timelines early; protect maker time.
  • Track commitments and outcomes; celebrate impact, not just output.
  • Keep architecture diagrams, runbooks, READMEs, and data lineage current.
  • Promote a “docs-as-code” culture; ensure changes to interfaces include migration notes and examples.
  • Provide weekly progress, risks, and asks to the CTO; share monthly demos/notes with broader stakeholders.
Desired Qualifications
  • Domain knowledge in pricing, demand modeling, or hospitality.
  • Former start-up experience.

1848 Ventures is a B2B SaaS venture studio that builds and scales AI-powered software for small and medium businesses. It creates dedicated teams, tools, and provides capital to develop ventures that solve real SMB needs such as dynamic pricing, labor forecasting, and conversion optimization. A $250 million funding commitment backs the effort, enabling entrepreneurs to turn ideas into market-ready products. With roots in commercial insurance, the company leverages that stability to pursue ambitious projects and help SMBs grow while strengthening communities. Its approach differs from typical vendors by offering end‑to‑end venture creation and scaling within an integrated studio, rather than just selling a single product. The goal is to improve SMB efficiency and growth, helping communities thrive through practical, AI-powered solutions.

Company Size

11-50

Company Stage

N/A

Total Funding

$13.6M

Headquarters

Westfield Center, Ohio

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Propel People $3M seed unlocks $500B+ skilled trades market amid labor shortages.
  • Luminest acquisition accelerates vertical SaaS strategy with AI hiring tools.
  • Dexter Bachelder appointment boosts construction tech credibility and penetration.

What critics are saying

  • Westfield underwriting losses damage reputation, eroding $250M fund confidence.
  • Highflyer, Aspire, ServiceTitan dominate construction SaaS, outcompeting launches.
  • Llama 3.1 commoditizes AI, enabling SMBs to bypass studio dependency.

What makes 1848 Ventures unique

  • 1848 Ventures combines venture creation with acquisitions like Luminest for skilled trades.
  • Structured Discover-Validate-Build-Scale phases target AI solutions for SMBs.
  • Backed by Westfield's $250M commitment, focuses on construction, hospitality, retail.

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