Competitive Service Jobs in San Francisco, CA

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

Product Manager

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

Turbonomic's platform enables IT organizations to automate resource management and transform operations through full-stack automation. The role requires a Technical Product Manager with expertise in public cloud, container platforms, and DevOps tools to drive product innovation and customer value.

Sales Development Representative - Entry Level Sales Program 2026

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

The text is a job description for a Sales Development Representative role at IBM. It highlights the company's mission, the role's responsibilities, required education and skills, and preferred experience. The role involves lead qualification, sales execution, and managing growth, with a focus on supporting all client segments, especially Select Digital and Commercial Client.

Brand Technical Specialist Intern – Entry Level Sales Program 2026 (September Start)

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

IBM's Technology Sales Internship Program offers undergraduate and graduate students the opportunity to combine technical expertise with people skills to deliver innovative solutions to clients. The program focuses on building credibility, developing proposals, delivering proof of concepts, defining IBM solutions, and sales prospecting. Interns will work collaboratively with teams, engage with clients, and support sales opportunities.

Frequently Asked Questions

What are the typical salary ranges by seniority for Competitive Service roles?
Entry‑level analysts and help desk staff typically earn $55,000–$75,000 annually. Mid‑level Customer Success Managers or Technical Support Engineers make $75,000–$110,000. Senior roles such as Senior Analyst, Lead Support Engineer, or Customer Success Lead command $110,000–$150,000, while managers and directors earn $140,000–$180,000, often with performance bonuses tied to Net Promoter Score and churn reduction.
What skills and certifications are required for Competitive Service positions?
Technical Support Engineers should hold CompTIA A+, Microsoft Certified: Azure Fundamentals, ITIL Foundation, and mastery of Zendesk, Jira, PowerShell, and remote desktop tools. Customer Success Managers need Salesforce Administrator or Advanced credentials, Gainsight certification, ServiceNow knowledge, strong communication, and data analysis skills with Excel or Power BI. Competitive Intelligence Analysts benefit from Tableau, SQL, Python, market research methodology, and Certified Market Analyst (CMA). All roles value SaaS metrics fluency (ARR, MRR, LTV), clear documentation, and experience with collaboration tools like Slack and Teams.
Is remote work available for Competitive Service jobs?
Yes. Most Competitive Service listings offer fully remote or hybrid arrangements, often requiring 2–3 days onsite for team alignment. Companies typically provide a 24/7 coverage model for global clients, so candidates should be comfortable with flexible hours and real‑time ticket responses across time zones.
What career progression paths exist within Competitive Service?
A common trajectory starts as Service Desk Analyst → Senior Analyst → Team Lead → Manager → Director → VP of Service. Advancement hinges on developing cross‑functional collaboration, mastering data analytics, automating processes with scripting or RPA, and demonstrating leadership in customer advocacy initiatives.
What industry trends are shaping Competitive Service?
Key trends include AI‑powered chatbots and predictive routing, omnichannel support platforms, advanced analytics for churn prediction, automation of ticket triage, proactive issue resolution, cloud‑native support for micro‑services, and integration of customer feedback loops into product roadmaps. Companies are investing in AI tools that analyze ticket sentiment and recommend resolution actions, reducing mean time to resolution by 20–30%.

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