Competitive Service Jobs in Remote

372,722 open positions · Updated daily

Looking for Competitive Service jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Competitive Service position in the Remote area.

Insights Manager

Company: DISQO

Location: Remote

Posted Jan 25, 2025

DISQO is seeking a data-driven insights leader to join their Ad Measurement team. The ideal candidate will have a passion for insights and innovation in digital and media spaces, with a strong background in consumer research and marketing analytics. The role involves championing customer relationships, driving end-to-end ad measurement solutions deployment, and contributing to process optimization. DISQO offers a positive, performance-oriented workplace with competitive benefits and a flexible hybrid approach.

Sr. Data Analyst, Performance Marketing - US (Remote)

Company: Luxury Presence

Location: Remote

Posted Jan 25, 2025

Luxury Presence, a leading digital platform in the real estate industry, is seeking a Senior Data Analyst for Performance Marketing. The role involves analyzing and improving marketing outcomes, delivering insights, building predictive models, and creating data products. The company is a fast-growing startup, trusted by over 60,000 real estate professionals, and is backed by world-class investors. The position offers competitive compensation, including stock options, flexible PTO, and health benefits.

Grail Galleri Consultant (Dallas East) #4101

Company: GRAIL

Location: Remote

Posted Jan 25, 2025

GRAIL, a healthcare company based in Menlo Park, California, is recruiting a GRAIL Galleri Consultant to join their growing commercial team. The role involves executing the go-to-market sales strategy for GRAIL's revolutionary multicancer early detection product, Galleri. The successful candidate will be responsible for prospecting and targeting primary care practices, representing a diverse team, collaborating with internal stakeholders, and developing a business plan for territory growth. The ideal candidate should have a Bachelor's degree, 8+ years of sales experience in the lab, pharmaceutical, or biotechnology industry, and a proven track record of sales performance success. The role offers a competitive base pay, potential bonuses, and a comprehensive benefits package.

Senior Data Engineer

Company: Coinbase

Location: Remote

Posted Jan 25, 2025

Head of Finance Portfolio Delivery

Company: Atlassian

Location: Seattle, WA / Remote

Posted Jan 25, 2025

Frequently Asked Questions

What are typical salary ranges by seniority for Competitive Service roles?
Junior Cloud Engineers earn $80,000–$110,000, mid‑level SREs range $110,000–$150,000, senior architects and lead incident responders command $150,000–$220,000+, with executive roles exceeding $250,000 depending on company size and region.
What skills and certifications are required in Competitive Service?
Core skills include Kubernetes, Terraform, CI/CD (GitLab, Spinnaker), observability (Prometheus, Grafana), and incident‑response platforms (PagerDuty, Opsgenie). Certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), Certified DevSecOps Professional, and ITIL Foundation are highly valued.
Is remote work available for Competitive Service positions?
Yes, most Competitive Service roles offer 100% remote or hybrid arrangements. Companies prioritize cloud‑first toolsets, which enable distributed teams to manage services from anywhere while maintaining strict security controls.
What career progression paths exist in Competitive Service?
Typical progression starts with Support Engineer → SRE → Cloud Architect → Incident Response Lead → Technical Program Manager or VP of Reliability. Continuous learning and cross‑functional experience accelerate movement into leadership and strategy roles.
What industry trends are shaping Competitive Service today?
Emerging trends include multi‑cloud orchestration, IaC automation, AI‑Ops for predictive incident mitigation, zero‑trust security architecture, and the integration of observability with machine‑learning analytics to reduce mean time to recovery.

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