Exciting Opportunity Jobs in USA

328,035 open positions · Updated daily

Looking for Exciting Opportunity jobs in USA? Browse our curated listings with transparent salary information to find the perfect Exciting Opportunity position in the USA area.

Staff Engineer

Company: NABIS

Location: USA

Posted Nov 18, 2025

Nabis is a leading licensed cannabis wholesale platform with a mission to empower the world to discover cannabis. They are building an innovative technology-first platform to scale the cannabis industry and are seeking a Staff Engineer to drive the success of their V2 Platform. Nabis offers a fully remote, high-impact role with competitive compensation and a diverse, inclusive work environment.

Engineering Manager, Data - Personalization

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with a personalized experience for members. The Personalization Algorithm & Innovation Data Engineering team builds large-scale datasets to improve the member experience. The team is seeking a leader with experience in distributed systems, data products, and building high-quality data processing systems. The ideal candidate should have a strategic mindset, focus on development and operational efficiency, and embody Netflix's core values.

Head of Design

Company: User Interviews

Location: USA

Posted Nov 18, 2025

User Interviews is a company that connects businesses with diverse audiences for user research. They prioritize talking to customers, understanding their behavior, and building products that customers love. The company values high agency, bias to action, and thoughtful risk-taking. They are building a product loved by designers and researchers at world-class companies, with a focus on AI and remote work culture.

Staff Product Manager, Growth — New User Acquisition

Company: Reddit

Location: USA

Posted Nov 18, 2025

The job posting is for a Product Manager role on Reddit's Top of Funnel team, focusing on optimizing the platform for search engines and user growth. The role involves defining strategy, roadmapping, experimentation, and collaboration with cross-functional teams. The position is fully remote, with a preference for candidates in the EST timezone.

Analytics Engineer (L6) - Ads DSE, Live Events

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They recently launched a lower-priced ads-supported tier and are seeking founding members for their Ads Data Science and Engineering team. The team focuses on building analytics tools, predictive models, and algorithms to create more choices and joy for members while providing a premium TV brand experience for advertisers. They are looking for a Staff Analytics Engineer to lead analytics initiatives for the rapidly growing Live Events space, including NFL and WWE. The role involves defining analytics frameworks, building scalable roadmaps, developing cross-functional partnerships, and delivering technically robust solutions.

Distributed Systems Engineer (L5) - Data Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading global entertainment service with over 300 million paid memberships across 190 countries. The company provides a wide variety of TV series, films, and games, allowing members to play, pause, and resume watching anytime, anywhere. Netflix's data platform teams enable the company to leverage data to bring joy to members and make critical data-driven decisions. The company is looking for distributed systems engineers to help evolve and innovate its infrastructure, with a focus on building a diverse and inclusive team.

Security Software Engineer (L5) - Authentication Engineering

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a Security Software Engineer to help mature its enterprise authentication platform, tackle complex security challenges, and shape its security posture. The role offers high autonomy, strategic impact, and the opportunity to work with modern programming languages and cloud platforms.

Claims Examiner | Multi-Line | Public Entity

Company: Sedgwick

Location: USA

Posted Nov 17, 2025

Sedgwick is a global company offering meaningful work, career growth, and a caring culture. They are recognized as one of America's Greatest Workplaces and offer comprehensive benefits. The company is seeking a claims examiner with 5+ years of experience to join their team.

Engineering Manager - Cloud Architecture Tooling and Security (CATS)

Company: Netflix

Location: USA

Posted Nov 17, 2025

This text describes Netflix's cloud security initiatives, a job opening for a cloud security leader, required qualifications, benefits package, and diversity commitments. It presents factual information about the company's operations and hiring practices without overtly positive or negative language.

Web Software Engineer 4 - Client API Foundations

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company offers a wide variety of TV series, films, and games across different genres and languages. Netflix's commerce engineering team is responsible for driving subscriber growth and increasing value from each member. The team collaborates with cross-functional teams on initiatives focused on acquisition, retention, plans, pricing, user identity, customer support, and more. They build and maintain foundational systems powering billing, payments processing, identity, and the consumer web application platform at Netflix.

Distributed Systems Engineer (L4) - Data Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company provides a wide variety of TV series, films, and games across genres and languages. Netflix's Data Platform teams enable data-driven decision making and provide centralized data platforms and tools for various business functions. The company is looking for distributed systems engineers to help evolve and innovate its infrastructure.

Software Engineer L5 - Offline Inference, Machine Learning Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix promotes its leading entertainment services and seeks a Software Engineer L5 to join their Offline Inference team, emphasizing scalable ML infrastructure and competitive benefits.

Frequently Asked Questions

What are the typical salary ranges for Exciting Opportunity roles by seniority?
Entry‑level ML Engineer: $90k–$120k; Mid‑level: $120k–$160k; Senior: $160k–$220k. Growth Product Manager: Entry $80k–$110k; Mid $110k–$140k; Senior $140k–$190k. Lead Front‑end Engineer: $110k–$160k; Senior $160k–$210k.
What skills and certifications are required for Exciting Opportunity positions?
Machine Learning Engineer: Python, PyTorch/TensorFlow, Kubernetes, AWS SageMaker or GCP AI Platform, and SQL. Certifications: AWS Certified ML – Specialty, Google Professional Data Engineer, CSPO for product roles. Front‑end Lead: React, TypeScript, GraphQL, Jest, and advanced CSS. UX Researcher: Figma, Lookback, usability testing, and HCI coursework.
Is remote work available for Exciting Opportunity roles?
Yes. Approximately 70% of listings allow full remote work, 20% are hybrid (remote 3 days + office 2 days), and 10% require on‑site presence. Remote roles typically include flexible hours, global collaboration tools, and virtual onboarding.
What career progression paths exist within Exciting Opportunity?
Typical path for engineers: Associate → Senior → Lead → Principal → Distinguished Engineer. For product managers: Associate → Product Manager → Senior PM → Lead PM → Director of Product. For UX roles: Associate Designer → Designer → Senior Designer → Lead Designer → Head of Design. Each step involves increased ownership, cross‑functional influence, and strategic impact.
What industry trends are shaping Exciting Opportunity roles?
AI democratization pushes more teams to adopt no‑code ML tools and edge inference. Edge computing and low‑latency streaming open roles for real‑time analytics specialists. Remote‑first culture expands candidate pools globally. Product analytics, micro‑services, and sustainability‑focused tech are also driving demand for data‑driven and eco‑conscious solutions.

Related Pages