Balance tactical, sales-driven, client-driven, and strategic work in line with the product owner's priorities and engineering capacity, and represent engineering and delivery constraints back into product planning.
Coordination & Risk Management
Serve as the primary point of contact for cross-team coordination — tracking dependencies, clarifying ownership across overlapping workstreams, and keeping a shared record of design decisions so decisions are clear and work isn't duplicated across teams.
Establish structured working groups that connect client-facing staff with the engineers building the corresponding capability, so requirements and feedback flow continuously rather than through one-off handoffs.
Get early visibility into pipeline and committed deals from solutions/pre-sales, and proactively share it with engineering leads so they have early awareness of what has been sold or promised.
Identify risks, roadblocks, and cross-team dependencies early, and drive them to resolution — escalating to leadership and external stakeholders when needed.
Progress Tracking & Reporting
Own a consolidated view of program status, pulling metrics and progress updates from across workstreams into a single, reliable source of truth, and move toward automated metrics and away from manual status collection.
Validate reported progress against delivery evidence, staying close enough to the technical work to understand delivery status alongside engineering teams.
Facilitate agreement on shared milestones, track progress against them, and translate program status into clear, regular reporting for stakeholders and leadership, keeping product and solutions current so client expectations are set accurately.
Process & Standardization
Define and drive repeatable processes for planning, prioritization, status reporting, and issue escalation across teams, working through engineering leaders and building on existing organizational standards wherever possible.
Coordinate with client onboarding and delivery teams on incoming demand, and define clear rules for how work transfers between engineering and delivery, with onboarding and support handoffs standardized and documented.
Requirements
Bachelor's degree in Computer Science, Engineering, Finance, Mathematics, Economics, or a related discipline.
5+ years of experience in program management, product management, or business analysis within SaaS, cloud platforms, capital markets technology, or risk/analytics.
Technical fluency to engage directly with engineers, read specifications, and discuss trade-offs, and the ability to work independently.
Proven ability to coordinate across multiple teams and drive agreed milestones without relying on formal authority alone.
Excellent communication skills — able to bridge engineering and business stakeholders with clarity and precision, while adapting as priorities evolve.
Self-motivated and adaptable, with a high standard for reliability and delivery impact.
Nice to have: familiarity with SDLC practices and agile delivery tooling such as Jira.
Nice to have: familiarity with cloud infrastructure and modern SaaS security patterns; relevant training will be provided.
Salary Range $88,800.00 - $115,200.00 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
