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Post Sales Jobs in California (NOW HIRING)

AISquared

Sales Engineer

Mountain View, CA · On-site

The role involves driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to clients.

AISquared

Sales Engineer

Mountain View, CA · On-site

The role involves driving enterprise sales, supporting both pre-sales and post-sales activities, and partnering closely with account executives to deliver cutting-edge solutions to clients.

Bonhams

Post-Sale Manager, West Coast

Los Angeles, CA · On-site

$60K - $70K/yr

... sales, ensuring clients receive exceptional service throughout the process. Reporting to the Head of Client Services, US, and serving as a key member of the Client Services team, the Post-Sale ...

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Showing results 21-40

All JobsPost Sales JobsPost Sales Jobs in California

Post Sales information

See California salary details

$22.2K

$80.5K

$152.5K

How much do post sales jobs pay per year?

As of Aug 21, 2026, the average yearly pay for post sales in California is $80,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $95,200.00 per year, depending on experience, location, and employer.

What is a post sales role?

Post sales roles refer to the positions and responsibilities that come into play after a product or service has been sold to a customer. These roles typically focus on customer onboarding, support, retention, relationship management, and ensuring customer satisfaction with the purchased product or service. Post sales teams work to resolve issues, provide training, address feedback, and help customers maximize the value of their purchase. Effective post sales support is crucial for building long-term customer loyalty and encouraging repeat business.

What are the key skills and qualifications needed to thrive in a post sales role?

To thrive in a Post Sales role, you need strong customer service skills, a thorough understanding of the company’s products or services, and experience in account management or customer support. Familiarity with CRM software like Salesforce, ticketing systems, and basic data analysis tools is often required. Excellent communication, problem-solving abilities, and a proactive attitude are essential soft skills for building customer trust and resolving issues. These skills ensure customer satisfaction, promote retention, and support long-term business growth after the initial sale.

What are the main challenges faced by post sales professionals, and how can they effectively address them?

Post Sales professionals often encounter challenges such as managing customer expectations, handling technical issues, and ensuring seamless communication between clients and internal teams. To address these, it's important to maintain proactive follow-ups, develop strong product knowledge, and build positive relationships with both customers and colleagues. Collaborating closely with support, engineering, and account management teams can help resolve issues quickly and enhance the overall customer experience, leading to higher satisfaction and retention.

What is the difference between Post Sales vs Customer Support?

AspectPost SalesCustomer Support
Primary FocusEnsuring customer success after purchase, managing account growthAddressing customer issues and troubleshooting
Required SkillsProduct knowledge, account management, communicationProblem-solving, technical skills, communication
Work EnvironmentClient-facing, account management teamsHelp desks, call centers, support teams
Industry UsageTechnology, SaaS, enterprise solutionsTechnology, retail, telecom, various service sectors

While both roles involve customer interaction, Post Sales focuses on ongoing account success and growth, whereas Customer Support primarily handles troubleshooting and resolving immediate issues. Understanding these differences helps companies assign the right resources for customer satisfaction and retention.

What are popular job titles related to Post Sales jobs in California?

For Post Sales jobs in California, the most frequently searched job titles are:

What job categories do people searching Post Sales jobs in California look for?

The top searched job categories for Post Sales jobs in California are:

What cities in California are hiring for Post Sales jobs?

Cities in California with the most Post Sales job openings:

Post Sales jobs near you
Infographic showing various Post Sales job openings in California as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $80,548 per year, or $38.7 per hour.

Senior Solution Consultant - Post-Sales, Platform

Socure

San Francisco, CA • On-site

$155K - $180K/yr

Full-time

Re-posted 5 days ago

Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
We're looking for a Senior Solution Consultant, Post-Sales to drive the successful onboarding and measurable outcomes for clients leveraging Socure's AI-powered identity verification and fraud prevention platform RiskOS. In this role, you'll sit at the intersection of cutting-edge product, machine learning and AI tools and real-world client implementation - helping organizations unlock the full potential of Socure's predictive models, automated decisioning workflows, and data-driven intelligence.
This role is ideal for someone who is self motivated, energized by AI and automation, comfortable working with data-driven decisionmaking, and eager to translate technical sophistication into tangible client value in a fast-paced, high-growth environment.
What You'll Do
Implementation & Solution Delivery
  • Lead the end-to-end platform implementation process, ensuring timely and successful deployments.
  • Collaborate with clients to define solution architecture, configure platform components, and tailor implementations to meet specific business needs.
  • Develop and refine best practices for scalable, high-impact implementations.

AI-Driven Onboarding & Implementation
  • Lead onboarding efforts that put AI and automation front and center - configuring Socure's intelligent decisioning engines, ML model outputs, and automated workflows to align with each client's risk and identity strategy.
  • Guide clients through best practices for integrating AI-powered signals into their existing tech stacks, ensuring they're positioned to get immediate value from Socure's predictive capabilities.
  • Translate client business goals into optimized platform configurations that leverage Socure's models to their fullest extent.

Data Optimization & Performance Tuning
  • Partner with clients to analyze acceptance rates, false positive/negative trends, and model performance data - identifying opportunities to fine-tune configurations and maximize accuracy.
  • Use data and intelligent tools to proactively surface insights and recommendations that improve identity pass rates, reduce fraud exposure, and drive operational efficiency.
  • Collaborate with internal data and product teams to ensure client environments are calibrated for optimal model performance over time.

Automation & Workflow Enablement
  • Help clients design and implement automated decisioning flows that reduce manual review, accelerate approvals, and scale intelligently with their business.
  • Support the configuration of rules engines, thresholds, and AI-assisted workflows that replace repetitive manual processes with intelligent automation.
  • Identify opportunities and implement and automated repeatable processes to enable faster, more consistent client deployments.

Technical Support & Troubleshooting
  • Diagnose and resolve technical issues during deployment, with a particular focus on data pipeline integrity, API performance, and AI model response handling.
  • Serve as a knowledgeable resource for clients navigating complex integration scenarios, escalating strategically when needed.
  • Partner with Support and Customer Success to ensure a seamless, data-informed client experience.

Training, Enablement & Thought Leadership
  • Deliver engaging training sessions that help client teams understand not just how to use Socure's platform, but why the AI works - building confidence and internal champions.
  • Contribute to enablement resources, playbooks, and documentation that reflect current best practices in AI-powered identity verification.

Cross-Functional Collaboration
  • Act as a feedback loop between clients and Socure's Product and Engineering teams - translating real-world deployment learnings into actionable product insights.
  • Work closely with Sales, Customer Success, and Data Science to ensure clients are consistently realizing measurable ROI from Socure's AI capabilities.

What You'll Bring
  • 5+ years of identity or fraud related experience in technical implementation, solution consulting or support engineering - preferably in SaaS, AI/ML platforms, or data-driven technology.
  • Familiarity with AI/ML concepts, automated decisioning systems, or data analytics - you don't need to build models, but you should be excited to work closely with their outputs.
  • Strong working knowledge of APIs, data integration patterns, and web-based platforms; comfortable translating technical concepts for both technical and non-technical audiences.
  • A data-curious mindset - you look at performance metrics and ask "what can we improve?" rather than "what does this mean?"
  • Ability to manage multiple client workstreams with structure, clarity, and a bias toward proactive communication.
  • Bachelor's degree or equivalent experience in a technical, analytical, or related field.

Nice-to-Have Qualifications
  • Hands-on experience with identity verification, fraud prevention, risk modeling, or compliance platforms.
  • Exposure to ML model outputs, feature engineering concepts, or data pipeline tooling (e.g., SQL, BI tools, data warehouses).
  • Experience working in enterprise client environments with complex technical stacks.
  • Background in a startup or high-growth SaaS company where ambiguity is the norm and speed is a feature.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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