Life Insurance Jobs

950,527 open positions · Updated daily

Life Insurance is pivoting toward data‑driven products as insurers deploy AI for underwriting, real‑time pricing, and predictive claims modeling. The surge in digital customer journeys has doubled demand for tech talent that can translate actuarial insights into scalable platforms.

Key roles include Actuarial Analysts who build loss‑prediction models in SAS or R, Underwriting Automation Engineers who develop rule‑based engines on Python and Salesforce, Claims Data Scientists who mine claim histories with SQL and Tableau, Product Managers who shape digital policy offerings, and Risk Analytics Specialists who implement ESG risk metrics.

Salary transparency in Life Insurance tech lets candidates compare market rates for niche skills, reduce negotiation time, and attract diverse talent who value equity. Knowing exact pay ranges for actuarial, data, and engineering roles drives informed career moves and helps firms benchmark against industry leaders.

Software Engineer L5 (Networking)

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix promotes its global entertainment leadership and Open Connect CDN initiatives, highlighting job opportunities for software engineers with expertise in scalable systems. The company emphasizes diversity, inclusion, and a collaborative culture while detailing compensation structures and hiring practices.

Product Success Manager

Company: CommerceIQ

Location: USA

Posted Dec 20, 2025

The Product Success Manager role combines technical and commercial expertise to configure CommerceIQ platforms, guide customers, and drive adoption. It offers competitive compensation and benefits, ideal for professionals in SaaS environments.

Distributed Systems Engineer (L5) - Data Platform

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix's data platforms enable innovative solutions across global operations, supporting diverse teams and fostering growth through cutting-edge technology and open-source contributions.

Distributed Systems Engineer (L4) - Data Platform

Company: Netflix

Location: USA

Posted Dec 20, 2025

This text describes Netflix's data platforms, teams, and job opportunities. It highlights their mission to innovate through data infrastructure, seeks engineers for distributed systems, and emphasizes diversity and inclusion. The content is factual with no overtly positive or negative tone.

Technical Director - Internal Game Studio (ISX1)

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix is seeking a visionary Technical Director to lead game development for their cloudgaming platform, emphasizing innovation, technical expertise in Unreal Engine 5, and collaboration with cross-functional teams. The role involves building scalable systems, mentoring engineers, and integrating with Netflix's technologies while offering competitive compensation and benefits.

Support Solutions Engineer (L5) - Security,Privacy and Assurance

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix's Engineering Support Organization aims to deliver excellent support experiences for developers, focusing on automation, security, and collaboration. The role requires expertise in infrastructure, customer service, and problem-solving, with a commitment to diversity and inclusion.

Staff Product Designer - Cloud Infrastructure

Company: Netflix

Location: USA

Posted Dec 20, 2025

This job posting highlights Netflix's opportunity to shape cloud infrastructure experiences, emphasizing innovation, technical challenges, and collaboration with cross-functional teams. The role offers impactful work on complex systems and aligns with Netflix's mission to entertain the world through cutting-edge engineering solutions.

Staff Data Scientist

Company: Webflow

Location: USA

Posted Dec 20, 2025

Webflow is seeking a Staff Data Scientist to drive insights and innovation for their remote-first platform. The role involves collaborating with cross-functional teams, analyzing customer data, and shaping product strategies. The company emphasizes trust, creativity, and equity while offering competitive compensation, equity, and comprehensive benefits.

Senior Data Scientist - Ads

Company: Reddit

Location: USA

Posted Dec 20, 2025

Reddit seeks a Senior Data Scientist to enhance their advertising platform through advanced data science and machine learning. The role offers remote work flexibility, competitive compensation, and benefits like healthcare, equity, and professional development opportunities. The team focuses on improving advertiser value and platform measurement while fostering innovation in ad technology.

Machine Learning Engineer (L5) - Ads

Company: Netflix

Location: USA

Posted Dec 20, 2025

The text provides information about Netflix's global services, membership statistics, and a new ad-supported tier. It outlines the Creative team's mission to develop AI-generated ads, details job responsibilities and requirements, and describes compensation and benefits packages. The content is factual and neutral in tone.

Technical Support Engineer (Edge Cloud)

Company: Gcore

Location: Poland

Posted Dec 20, 2025

This text describes Gcore's role in providing infrastructure and software solutions for AI, cloud, and security, highlighting opportunities to work on global projects with leading technology partners. It outlines technical support responsibilities, qualifications, and benefits including competitive compensation, flexible work arrangements, and professional development opportunities.

Staff Product Manager, Growth — New User Acquisition

Company: Reddit

Location: USA

Posted Dec 20, 2025

This job posting highlights a senior product management role at Reddit focused on driving user growth through search engine optimization and cross-functional collaboration. The position offers opportunities to shape platform strategy, work with engineering teams, and contribute to innovative product development. Key qualifications include experience with large-scale product management, analytical skills, and a growth mindset. Benefits include comprehensive healthcare, equity, and flexible work arrangements.

Frequently Asked Questions

What are typical salary ranges by seniority in Life Insurance tech roles?
Entry‑level Actuarial Analysts earn $70k–$90k; mid‑level analysts $90k–$120k; senior analysts or data scientists $120k–$160k; directors and VP‑level roles range $160k–$220k, often with bonus and equity components.
What skills and certifications are required?
Actuarial exams (SOA/ CAS), CPCU, or CFA; proficiency in SAS, R, Python, SQL; data visualization with Tableau or Power BI; Salesforce and API integration for underwriting; knowledge of Solvency II, Dodd‑Frank, and ESG reporting frameworks.
Is remote work available for Life Insurance tech positions?
Yes—many firms offer fully remote or hybrid models for analytics, software engineering, and product roles. Typical policies allow 3–5 remote days per week, with optional in‑office meetings for cross‑functional collaboration.
What career progression paths exist in Life Insurance tech?
Start as an Actuarial Analyst or Data Scientist, advance to Senior Analyst or Automation Engineer, then to Manager or Lead Analyst, followed by Director of Analytics or VP of Technology, and ultimately Chief Data Officer or Chief Actuary.
What industry trends are shaping Life Insurance tech?
AI‑driven underwriting, real‑time pricing engines, micro‑insurance platforms, ESG risk modeling, regulatory tech (RegTech) for compliance, automated claims processing, and blockchain for policy lifecycle management.

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