Formal
Channel Account Specialist
San Francisco · Senior · Full-time
Sponsorship not specifiedDetected 338 days ago
DatadogSalesForecastingRecruitingPerformance ManagementCustomer SupportLeadershipCommunicationCollaboration
About the role
- As our Channel Account Specialist, you will play a crucial role in shaping Formal's relationships with channel partners.
- You'll work closely with our product, sales, and leadership teams to develop and execute partner strategies that drive growth and establish Formal as a leader in the data security space.
Responsibilities
- Strategic Planning: Develop and implement a comprehensive channel strategy to drive revenue growth and expand the partner ecosystem.
- Partner Recruitment: Identify, recruit, and onboard new channel partners, including resellers, distributors, and strategic alliances.
- Relationship Management: Build and maintain strong, long-term relationships with key partners, serving as the primary point of contact and advocate for their needs.
- Sales Enablement: Provide partners with the necessary tools, training, and resources to effectively sell and support our data security solutions.
- Performance Management: Set performance metrics, monitor partner performance, and implement improvement plans as needed to ensure partners meet and exceed sales targets.
- Marketing Collaboration: Work closely with the marketing team to develop and execute joint marketing campaigns and events that drive demand and generate leads through the channel.
- Cross-Functional Collaboration: Collaborate with internal teams, including sales, marketing, product management, and customer support, to ensure alignment and success of channel initiatives.
- Demonstrated success in developing and managing a high-performing channel partner network within the security industry with a track record of achieving and exceeding sales targets.
- Exceptional interpersonal and relationship-building skills, with the ability to influence and collaborate effectively with partners at all levels.
- Strong strategic and analytical skills, with the ability to develop and execute effective channel strategies.
Requirements
- Minimum of 5 years of experience in channel sales or partner management, preferably in the data security or technology industry.
- Excellent verbal and written communication skills, with the ability to present and articulate complex concepts clearly and persuasively.
- Ability to understand and communicate technical concepts related to data security solutions.
Compensation
- This role offers cash compensation and a stock options grant.
- The positioning of offers within a certain range depends on various factors, including: candidate experience, qualifications, skills, business requirements and geographical location.
- Partially covered for your dependents
Benefits
- Benefits (for U.S.-based full-time employees)
- 100% medical, dental & vision insurance coverage for you
Company info
- About Formal
- Formal is data security platform designed to help teams understand and control their data on autopilot.
- We're building a modern protocol-aware reverse-proxy for datastores and APIs that helps organizations understand their data in real-time.
- This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies.
- We are trusted by leading companies such as Ramp, Gusto, Notion to solve problems across data security and compliance, data quality management, and infrastructure access.
- Formal is backed by top-tiers VCs including Thrive Capital and Y Combinator with angel investors that include executives and founders from Datadog, Clickhouse, Plaid, and Vanta.
- Stay up-to-date with our product offerings and industry trends to effectively communicate value propositions to partners and end customers.
- Product Knowledge: Stay up-to-date with our product offerings and industry trends to effectively communicate value propositions to partners and end customers.
This listing is sourced directly from Formal's careers page and normalized into a canonical job model.