Arbol Logo

Arbol

Forward Deployed Engineer

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in New York, NY, USA
120K-140K Annually
Entry level
In-Office or Remote
Hiring Remotely in New York, NY, USA
120K-140K Annually
Entry level
Build and maintain internal pricing, decision, data, and AI-powered tools. Partner with teams to define problems, create PRDs, integrate third-party models and data sources, and develop reliable production systems. Write Python and SQL for analyses, dashboards, and monitoring, while handling data transformation, validation, and performance optimization. Prototype rapidly and harden successful solutions with testing and production engineering practices.
The summary above was generated by AI
Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data  triggers rather than subjective assessment of loss. Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.

What You'll Be Doing

  • Embed with internal teams and partners to scope messy, loosely defined problems and turn them into structured PRDs and working software

  • Build and maintain internal tools, including pricing and decision engines, data apps, and AI-powered workflows

  • Write the SQL and Python behind analyses, dashboards, and monitoring that leadership uses to make decisions

  • Integrate third-party models, APIs, and data sources into our systems, and handle the mapping, transformation, and validation they need

  • Prototype quickly in notebooks and scripts, then harden what works into reliable, tested production systems

What You'll Need

  • Experience working with the product lifestyle, from PRD creation to implementation

  • Solid engineering skills in Python

  • Strong understanding of data systems: SQL, schemas, indexing, partitioning, and performance tradeoffs

  • Comfort with statistical concepts relevant to model evaluation, or experience interpreting metrics and distributions

What's Great to Have

  • Familiarity with pipeline tooling (Airflow/Dagster/Prefect), queues (Kafka/SQS/PubSub), and common data formats (Parquet/JSON)

  • Familiarity with cloud infrastructure (AWS/GCP/Azure), containers, CI/CD, and basic DevOps hygiene


Essential Job Functions & Physical Requirements

  • Ability to sit for extended periods of time while working at a computer, with or without reasonable accommodation

  • Ability to use a computer, keyboard, mouse, and standard office equipment (e.g., phone, printer, scanner)

  • Ability to view a computer screen for prolonged periods, with or without reasonable accommodation

  • Ability to communicate effectively in person, by phone, and via email

  • Ability to occasionally stand, walk, bend, and reach within an office environment

  • Ability to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodation

  • Ability to perform repetitive motions, such as typing or data entry

  • Ability to maintain focus and attention while performing detailed tasks


Interested, but you don’t meet every qualification? Please apply!

Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement.


Accessibility

Arbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact [email protected]


Benefits

Arbol is proud to offer its full-time employees competitive compensation at a high-growth startup.  Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health.  We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge. 


Equal Opportunity Employer

Arbol is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, or any other legally protected status.


Arbol participates in the E-Verify program to confirm employment eligibility.


HQ

Arbol New York, New York, USA Office

445 Park Ave, New York, NY, United States, 10022

Similar Jobs

10 Days Ago
Remote
United States
240K-270K Annually
Senior level
240K-270K Annually
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Own technical sales cycles for strategic enterprise accounts, including discovery, solution design, demonstrations, proofs of value, architecture reviews, and technical close. Help customers deploy and observe AI agents across platforms such as Databricks and Snowflake. Build technical champions, navigate procurement and infosec reviews, and partner with Account Executives to drive revenue growth and expansion.
Top Skills: AirflowBigQueryDatabricksDatabricks GenieDbtOpentelemetrySnowflakeSnowflake Cortex
14 Days Ago
Remote or Hybrid
New York, NY, USA
165K-200K Annually
Junior
165K-200K Annually
Junior
Artificial Intelligence • Machine Learning
Build and deploy production-grade AI and machine learning solutions within regulated customer environments. Develop specialized AI workflows, model deployment and monitoring systems, cloud and data integrations, applications, CI/CD extensions, and secure platform solutions. Advise data science teams, lead customer engagements, troubleshoot infrastructure, create reusable delivery materials, and provide product feedback to engineering, support, and product teams.
Top Skills: Agent FrameworksAmazon EksAWSAzureAzure AksBashCi/CdDockerGenerative AiGoogle Cloud PlatformGoogle GkeGpu WorkloadsKubernetesMachine LearningMlopsModel DeploymentModel MonitoringPythonRSQL
2 Hours Ago
In-Office or Remote
New York, NY, USA
130K-170K Annually
Entry level
130K-170K Annually
Entry level
Information Technology
Build generative and agentic AI solutions from concept through production. Responsibilities include rapidly prototyping with Claude Cowork and modern AI coding tools, developing full-stack applications, APIs, integrations, RAG architectures, agents, workflow automation, and prompt-engineering solutions. The role partners directly with enterprise stakeholders, demonstrates solutions, incorporates feedback, and addresses AI governance, security, and compliance requirements.
Top Skills: APIsClaude CodeClaude CoworkCrewaiCursorFhirGithub CopilotGxpHipaaHl7LangchainLanggraphNext.JsPydanticaiPythonRagReactWindsurf

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account