Life Insurance Jobs in Everett, WA

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Looking for Life Insurance jobs in Everett, WA? Browse our curated listings with transparent salary information to find the perfect Life Insurance position in the Everett, WA area.

Machine Learning Engineer - Machine Learning Infrastructure - USDS

Company: TikTok

Location: Seattle, WA

Posted Jan 24, 2025

TikTok U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., dedicated to enhancing data protection policies and content assurance protocols. The mission is to ensure U.S. user safety while they learn, earn, express, and entertain on the platform. USDS teams, including Trust & Safety, Security & Privacy, Engineering, and more, work towards this goal. TikTok values creativity and innovation, fostering a collaborative environment where employees can grow and drive impact. The company is currently seeking a Machine Learning Engineer to support their AI infrastructure and recommendation platform. The role involves designing and implementing global-scale machine learning systems, improving infrastructure usability, and mentoring interns. Qualifications include a degree in Computer Science or related field, proficiency in programming languages like Go/Python, and experience with open-source frameworks.

Project Sales Representative

Company: Sika

Location: Seattle, WA

Posted Jan 24, 2025

Sika, a global leader in construction and manufacturing industries with over 100 years of experience, is seeking a dynamic Project Sales Representative for its Commercial Refurbishment Sealing & Bonding team. The role involves driving demand for Sika products, achieving sales targets, promoting Sika products, maximizing territory coverage, staying ahead of industry trends, developing tailored sales action plans, fostering communication, and supporting profitability. The position offers competitive pay, a company car, remote work flexibility, and comprehensive benefits. Qualifications include a Bachelor's degree or equivalent experience, at least 2 years of sales experience, proven sales ability, industry knowledge, independence, strong organizational skills, and flexibility to travel.

Product Manager, Brand Ads

Company: TikTok

Location: Seattle, WA

Posted Jan 24, 2025

TikTok, a leading platform for short-form mobile video, is seeking a Product Manager for its Brand Innovation team. The role involves designing and launching innovative products to help advertisers meet their goals using TikTok's unique user engagement. The company values creativity, collaboration, and growth, with global headquarters in Los Angeles and Singapore. TikTok is committed to inclusivity and diversity, offering competitive compensation and benefits, including medical, dental, vision insurance, 401(k) savings plan, and paid parental leave.

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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