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Ridgeline Jobs (NOW HIRING)

Ridgeline

Senior Technical Writer

San Ramon, CA · On-site

At Ridgeline, we are committed to providing best-in-class product documentation and technical content experiences for our customers to help them make their way from being new users to product mastery ...

Ridgeline

Senior Technical Writer

San Ramon, CA · On-site

At Ridgeline, we are committed to providing best-in-class product documentation and technical content experiences for our customers to help them make their way from being new users to product mastery ...

Ridgeline

IT Automation & Support Specialist

San Ramon, CA · On-site

$104K - $131K/yr

NYC About Ridgeline Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the ...

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How much do ridgeline jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ridgeline in the United States is $59.99, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $80.05 per hour, depending on experience, location, and employer.

What is a Ridgeline?

Ridgeline jobs typically refer to positions at Ridgeline, a cloud-based technology company that provides software solutions for investment management firms. These jobs can range from software engineering and product management to client services and business development. Employees at Ridgeline work on developing, supporting, and enhancing innovative financial technology products aimed at modernizing investment operations. The company emphasizes collaboration, continuous learning, and the use of modern cloud technologies. Careers at Ridgeline offer opportunities to work in a fast-paced, mission-driven environment focused on transforming the investment management industry.

What are some common challenges faced by Ridgeline software engineers when working with cloud-native technologies?

Ridgeline software engineers often work with cutting-edge cloud-native technologies, which requires adapting quickly to evolving frameworks and deployment practices. A common challenge is ensuring seamless integration between various cloud services while maintaining high levels of security and scalability. Additionally, engineers must frequently collaborate across cross-functional teams, balancing rapid feature development with rigorous testing and compliance standards. Staying current with industry best practices and proactively troubleshooting issues are essential for success in this dynamic environment.

What is the difference between Ridgeline vs Geologist?

AspectRidgelineGeologist
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in surveying or environmental workBachelor's degree in geology or related field; advanced roles may require master's or PhD
Work EnvironmentConstruction sites, outdoor terrains, surveying locationsLaboratories, field sites, research settings
Employer & Industry UsageConstruction, surveying, environmental consultingMining, oil & gas, environmental agencies, academia

Ridgeline roles typically focus on surveying, land assessment, and construction support, often requiring certifications and outdoor work. Geologists analyze earth materials, conduct research, and work in labs or field sites, usually with higher education credentials. While both work in related industries, their daily tasks and qualifications differ significantly.

What are the key skills and qualifications needed to thrive as a Ridgeline?

To thrive as a Ridgeline Data Engineer, you need strong skills in data modeling, ETL processes, and programming languages like Python or SQL, typically backed by a degree in computer science or a related field. Experience with cloud platforms, data warehousing technologies, and relevant certifications such as AWS Certified Data Analytics are highly valued. Critical thinking, problem-solving, and clear communication are essential soft skills for collaborating with stakeholders and addressing complex data challenges. These competencies enable effective data infrastructure management, ensuring accurate insights and supporting business decision-making.
More about Ridgeline jobs
What cities are hiring for Ridgeline jobs? Cities with the most Ridgeline job openings:
What are the most commonly searched types of Ridgeline jobs? The most popular types of Ridgeline jobs are:
What states have the most Ridgeline jobs? States with the most job openings for Ridgeline jobs include:
What job categories do people searching Ridgeline jobs look for? The top searched job categories for Ridgeline jobs are:
Ridgeline jobs near you
Infographic showing various Ridgeline job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $124,775 per year, or $60 per hour.

Senior Manager, AI Leverage Engineering

Ridgeline

San Ramon, CA • On-site

Full-time

PTO

Posted 5 days ago

Job description

Are you passionate about helping engineers and employees unlock entirely new ways of working through generative AI, intelligent agents, and AI-native products?
Do you enjoy building and leading exceptional engineering teams that create platforms and experiences employees rely on every day?
Are you excited to define the future of work by building an internal AI platform that transforms how an entire company designs, builds, sells, and supports its products?
If so, we invite you to be a part of our innovative team.
At Ridgeline, the AI Leverage Engineering team serves as our Internal AI Platform organization, building AI-powered products, intelligent agents, and shared capabilities that amplify every employee's impact. As a Senior Engineering Manager, you'll lead a cross-functional engineering organization responsible for multiple AI leverage domains spanning Engineering, Product, Go-to-Market, Customer Experience, and Corporate Functions. Your organization owns Ridgeline's Internal AI Platform-a portfolio of AI products, shared services, and intelligent agents that power how the company operates every day. You'll partner closely with technical and business leaders to identify the highest-value opportunities for AI, translate rapidly evolving technologies into production-ready solutions, and build an AI-first engineering organization where success is measured by organization-wide adoption, productivity gains, and business impact-not simply the volume of software delivered. Our team of engineers are building with cutting-edge technologies-like Claude Code and Cursor-in a fast-moving, creative, progressive work environment.
At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions-not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we'd love to meet you!
You must be work authorized in the United States without the need for employer sponsorship.
The impact you will have
  • Lead, coach, and grow a team of engineers building AI-powered products, intelligent agents, and automation platforms that increase productivity across Ridgeline.
  • Own the engineering strategy and execution across multiple AI leverage domains, delivering a cohesive Internal AI Platform that scales intelligent capabilities throughout the company.
  • Define and drive Ridgeline's internal AI roadmap, partnering with engineering and business leaders to prioritize investments that create the greatest organizational leverage.
  • Shape the long-term vision for Ridgeline's Internal AI Platform, enabling every employee to accomplish more through intelligent agents, automation, and AI-native workflows.
  • Build an AI-first engineering organization where engineers leverage LLMs throughout the software development lifecycle and continuously redefine how software is built.
  • Partner with leaders across Engineering, Product, Go-to-Market, Customer Experience, Operations, and Corporate Functions to deeply understand workflows, identify opportunities, and deliver AI products employees actively adopt because they meaningfully improve how work gets done.
  • Build a culture of experimentation that rapidly evaluates emerging LLM capabilities, AI frameworks, developer tools, and AI agents while maintaining exceptional engineering quality and operational excellence.
  • Guide the architecture and delivery of scalable, secure, and reliable AI systems that integrate seamlessly into employee workflows.
  • Establish engineering processes, metrics, and operational practices that enable teams to move quickly while delivering measurable business outcomes.
  • Measure success through employee adoption, productivity gains, operational leverage, and business impact, continuously evolving the team's roadmap based on real-world results.
  • Recruit, develop, and retain world-class AI and platform engineers, raising the technical and leadership bar while building an organization recognized for innovation and execution.
  • Mentor engineering leaders and individual contributors, helping them grow technically, expand their business impact, and achieve their career goals.
  • Drive technical decision-making across multiple workstreams, balancing long-term platform investments with immediate business priorities.
  • Foster a culture of AI adoption by helping teams rethink workflows, embrace AI-native ways of working, and continuously raise the productivity ceiling across Ridgeline.
  • Help define the future of work at Ridgeline by making AI a seamless, trusted, and indispensable part of every employee's daily experience.

What we look for
  • 8+ years of software engineering experience, including significant experience leading and growing high-performing engineering teams.
  • Demonstrated success managing engineering managers and/or senior engineers while scaling organizations through periods of rapid growth and change.
  • Demonstrated passion for generative AI and a track record of applying LLMs, AI agents, and modern AI development practices to create meaningful business leverage.
  • Deep curiosity about the rapidly evolving AI landscape, with the ability to distinguish emerging technologies that deliver lasting business value from industry hype.
  • Experience building AI platforms, internal developer platforms, enterprise AI products, workflow automation solutions, or other highly leveraged internal products.
  • Strong technical judgment with the ability to guide architectural decisions and engineering strategy across multiple teams while empowering engineers to innovate.
  • Proven ability to partner with executive stakeholders and cross-functional leaders to identify opportunities, influence strategy, and deliver measurable business outcomes.
  • Track record of building products that drive organization-wide productivity, operational efficiency, and employee adoption.
  • Passion for hiring, developing, and retaining exceptional engineering talent while creating an environment where individuals and teams can do the best work of their careers.
  • Excellent communication and leadership skills with the ability to influence both technical and non-technical audiences.
  • A growth mindset, exceptional problem-solving ability, and a desire to build both people and technology.
  • Willingness to learn about emerging AI technologies while continuously expanding expertise in enterprise software, intelligent systems, and organizational productivity.

Bonus
  • Experience building AI agents, copilots, RAG systems, or multi-agent platforms.
  • Hands-on experience with modern LLM platforms such as OpenAI, Anthropic, or Google Gemini.
  • Familiarity with AI evaluation frameworks, observability, prompt engineering, model orchestration, and agentic systems.
  • Experience leading platform engineering, internal developer productivity, or internal AI product organizations.
  • Experience introducing AI-enabled software development practices using tools such as Claude Code, Cursor, or similar AI-assisted engineering environments.
  • Experience building products that achieved broad internal adoption and transformed how

About Ridgeline
Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, the Bay Area, Dublin Ireland. Ridgeline is recognized by Fast Company as a "Best Workplace for Innovators," by Frost & Sullivan as a "Technology Innovation Leader," and by The Software Report as a "Top 100 Software Company."
Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.
Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.
Compensation and Benefits
The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below.
The typical starting salary range for this role is: $214,500-$268,000.
The typical starting salary range for this role in the select locations listed above is: $236,000-$295,000.
Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above.
As an employee at Ridgeline, you'll have many opportunities for advancement in your career and can make a true impact on the product.
In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits.

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