Staff Professional Services Consultant [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Professional Services Consultant based in the United States.

This role sits at the heart of large-scale enterprise observability and telemetry transformations, helping organizations unlock the full value of their IT and security data. You will act as a trusted technical advisor, guiding customers through complex deployments of modern data platforms across cloud and hybrid environments. The position blends deep hands-on engineering with strategic consulting, enabling customers to optimize data pipelines, improve visibility, and operationalize advanced telemetry use cases. You will work closely with engineering, sales, and customer success teams to design and deliver high-impact solutions across some of the world’s largest enterprises. The environment is highly collaborative, remote-first, and fast-paced, with significant exposure to cutting-edge cloud and big data technologies. This is a customer-facing role where technical leadership, problem-solving, and communication skills directly shape deployment success and long-term adoption.

Accountabilities:

• Lead and execute complex customer engagements, owning architecture, deployment, operationalization, and documentation of observability and telemetry solutions across enterprise environments.
• Act as a technical authority during customer implementations, guiding design decisions and ensuring successful integration of large-scale data platforms.
• Collaborate with cross-functional teams including engineering, sales engineering, support, and customer success to deliver end-to-end solutions.
• Develop best practices, runbooks, workshops, training materials, and technical documentation to support customer enablement and internal knowledge sharing.
• Provide technical leadership in cloud and big data environments, supporting deployments across AWS, Azure, and GCP ecosystems.
• Optimize and troubleshoot complex enterprise systems involving telemetry, security, and observability data pipelines.
• Facilitate knowledge transfer, mentoring, and enablement sessions for customers, partners, and internal teams.
• Occasionally support global customers across time zones, including flexible working hours when required for critical engagements.

Requirements:

• 5+ years of experience in technical consulting, professional services, or enterprise data/observability engineering roles.
• Strong hands-on expertise with cloud platforms (AWS, Azure, or GCP) and enterprise deployment architectures.
• Deep knowledge of observability and security data tools such as Splunk, Elastic, Datadog, Grafana, Exabeam, or Azure Sentinel.
• Experience working with distributed systems and enterprise technologies including Kubernetes, Docker, and automation frameworks.
• Proficiency in Linux/Unix and Windows environments, with strong command-line and systems troubleshooting skills.
• Scripting experience (e.g., JavaScript or similar) for automation and workflow development.
• Strong communication skills with the ability to engage effectively with technical teams and executive stakeholders.
• Proven ability to manage complex customer engagements independently in remote and fast-paced environments.
• Bonus: experience in IT operations, security, infrastructure, or analytics domains, and willingness to travel up to 30%.

Benefits:

• Competitive base salary range: $135,400 – $185,000 USD
• Performance bonus eligibility and equity participation opportunities
• Comprehensive health, dental, vision, life, and disability insurance
• 401(k) retirement savings plan
• Generous paid time off and paid holidays
• Fertility and family-building support benefits
• Remote-first work model with global collaboration flexibility
• Reimbursement for home office setup and monthly connectivity stipends
• Access to continuous learning, certifications, and professional development resources
• Opportunity to work with leading global enterprises on mission-critical data infrastructure projects
• Inclusive, collaborative culture focused on innovation and continuous growth.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.