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Pre Sales Solution Engineer Jobs in California (NOW HIRING)

Pre-Sales | Solutions Engineering Core Product: Bland AI - Enterprise Voice AI Agent Platform Business Model: Platform fee (tiered) + consumption-based per-minute pricing Total Funding: $100M+ raised ...

This is a highly pre-sales focused role where you will act as the technical lead across the sales ... Experience supporting complex sales cycles, including discovery, solution design, and technical ...

Solutions Engineer

Santa Clara, CA ยท On-site

$140K - $160K/yr

Provide technical expertise to support pre-sales activities, including product demonstrations and ... Proven experience as a Customer- Facing Solution Engineer or similar role. * In-depth knowledge of ...

Solutions Engineer

Santa Clara, CA ยท Remote

$140K - $160K/yr

Provide technical expertise to support pre-sales activities, including product demonstrations and ... Proven experience as a Customer- Facing Solution Engineer or similar role. * In-depth knowledge of ...

Showing results 41-60

Pre Sales Solution Engineer information

See California salary details

$71.6K

$114.6K

$182.6K

How much do pre sales solution engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for pre sales solution engineer in California is $114,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,900.00 and $157,900.00 per year, depending on experience, location, and employer.

What is a pre sales solution engineer?

Pre Sales Solution Engineers are technical professionals who work closely with sales teams to understand customer needs and demonstrate how a company's products or services can solve specific business challenges. They are responsible for providing technical expertise, creating product demonstrations, and addressing any technical questions that arise during the sales process. Their main goal is to ensure that the proposed solutions align with the client's requirements, ultimately helping to secure sales and build strong customer relationships.

How does a pre sales solution engineer typically collaborate with sales teams and clients during the sales cycle?

Pre Sales Solution Engineers work closely with sales teams to understand client requirements, craft tailored product demonstrations, and address technical questions throughout the sales process. They often participate in client meetings to translate business needs into technical solutions, ensuring alignment between what the customer wants and what the product can deliver. Collaboration with both internal product teams and external stakeholders is crucial for designing proposals and responding to RFPs, making strong communication and teamwork skills essential in this role.

What are the key skills and qualifications needed to thrive as a pre sales solution engineer, and why are they important?

To thrive as a Pre Sales Solution Engineer, you need a solid understanding of technical concepts, product knowledge, and strong analytical skills, typically supported by a degree in computer science or a related field. Familiarity with CRM systems like Salesforce, presentation tools, and relevant technical certifications (e.g., AWS Certified Solutions Architect) are often required. Excellent communication, problem-solving, and relationship-building skills help you convey complex solutions clearly and build trust with clients. These skills are crucial for effectively bridging the gap between customer needs and technical solutions, ensuring successful sales outcomes.

What is the difference between Pre Sales Solution Engineer vs Sales Engineer?

AspectPre Sales Solution EngineerSales Engineer
Primary FocusTechnical solution design and demonstrationsSales and client relationship management
Required SkillsTechnical expertise, product knowledge, presentation skillsCommunication, negotiation, customer engagement
Work EnvironmentCollaborates with sales and technical teamsInteracts directly with clients and sales teams
CertificationsOften holds technical certificationsMay have sales or industry-specific certifications

While both roles support sales processes, the Pre Sales Solution Engineer primarily focuses on technical solution development and demonstrations, whereas the Sales Engineer emphasizes client engagement and closing sales. Understanding these differences helps organizations assign the right skills to each role for effective sales strategies.

What are the most commonly searched types of Pre Sales Solution Engineer jobs in California?

The most popular types of Pre Sales Solution Engineer jobs in California are:

What are popular job titles related to Pre Sales Solution Engineer jobs in California?

For Pre Sales Solution Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Pre Sales Solution Engineer jobs in California look for?

The top searched job categories for Pre Sales Solution Engineer jobs in California are:

Infographic showing various Pre Sales Solution Engineer job openings in California as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $114,573 per year, or $55.1 per hour.

Enterprise Solutions Engineer

Bland

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 26 days ago


Job description

Enterprise Solutions Engineer
Reports To: Taylor Hyde - VP, Sales
Location(s): San Francisco preferred (3-5 days in office); open to remote
Title: Enterprise Solutions Engineer
Experience Level: Individual Contributor
Function: Pre-Sales | Solutions Engineering
Core Product: Bland AI - Enterprise Voice AI Agent Platform
Business Model: Platform fee (tiered) + consumption-based per-minute pricing
Total Funding: $100M+ raised; most recent $50M Series C led by Dell Technologies Capital
About Bland AI
Bland AI is the enterprise voice AI platform built for organizations with high-volume, complex customer conversations. Founded by Sobhan Nejad and Isaiah Granet in San Francisco, Bland built its own voice models and infrastructure from the ground up to solve the latency, reliability, and control challenges that have historically limited enterprise adoption of voice AI. Today, Bland powers more than 3.5 million calls per week across regulated industries and has raised over $100M to accelerate its mission of building the most secure enterprise platform for high-stakes customer interactions.
Today, Bland's platform fully resolves up to 65% of inbound calls autonomously-handling not just FAQs, but multi-step workflows, authentication, business-rule-based routing, and live data lookups. For large contact center operators, every additional percentage point of autonomous resolution can translate to $500K-$1M+ in annual savings, making the ROI story unusually compelling.
Bland's biggest technical differentiator is that it owns and operates the entire voice stack in-house-speech recognition, orchestration, and text-to-speech-rather than stitching together third-party APIs. This architectural approach gives enterprise customers greater reliability, security, governance, and customization, particularly in highly regulated industries.
Why This Role Matters
Bland is building a more structured pre-sales motion as enterprise demand grows. Today, pre-sales is supported by a founding sales engineer, founders, AEs, and forward-deployed engineers. As the market becomes more competitive, Bland needs Solutions Engineers who can help prospects understand not just what the product does, but why Bland is the right technical and business choice.
This is a hands-on IC role focused on technical discovery, demo execution, POV scoping, and technical evaluation. You'll partner closely with AEs, FDEs, Product, and Engineering to help Bland win enterprise deals by proving value quickly and credibly.
This is not a traditional "demo-only" SE role. You'll be expected to get deep into customer workflows, understand the technical and operational environment, scope POVs tightly, configure compelling demos, and keep evaluations moving with urgency.
Role Overview
As a Solutions Engineer at Bland, you'll own the technical side of the sales process from discovery through Proof of Value. You'll help customers understand where Bland can create ROI, how the platform fits into their existing systems, and what a successful deployment could look like.
You'll be one of the first dedicated SEs at the company, meaning you'll have the opportunity to shape the motion as it evolves - but the immediate need is execution: running strong discovery, building great demos, managing technical evaluations, and helping enterprise buyers feel confident choosing Bland.
Core Responsibilities
Technical Discovery & Qualification
  • Lead technical discovery with prospective customers to understand call center workflows, existing systems, integration requirements, operational pain, and AI readiness.
  • Identify where Bland can deliver the clearest ROI and where the platform is best positioned to win.
  • Qualify technical fit early so the team invests time in the right opportunities.
  • Surface Bland's technical differentiators naturally in discovery, especially around reliability, latency, security, governance, and customization.
  • Work closely with AEs to define the technical win strategy for each opportunity.

Demo & Proof of Value Execution
  • Design and run demos that map directly to a customer's workflows, not generic product walkthroughs.
  • Scope POVs around clear success criteria, timelines, milestones, and stakeholder expectations.
  • Configure custom voice agent demos and technical proof points that show how Bland handles real-world complexity.
  • Keep POVs focused and commercially relevant, avoiding unnecessary scope creep or "science projects."
  • Partner with FDEs and Engineering when deeper technical resources are needed, while protecting their time and keeping the sales process efficient.
  • Drive urgency throughout the evaluation process by clearly defining next steps, owners, and decision points.
Technical Credibility & Customer Presence
  • Act as a credible technical voice in front of technical buyers, operators, InfoSec teams, procurement, and executive stakeholders.
  • Explain Bland's architecture, in-house voice stack, integration approach, and data/security posture in a clear and commercially relevant way.
  • Support prospects through RFIs, security questionnaires, technical due diligence, and enterprise procurement processes.
  • Build trust with skeptical buyers by being direct, knowledgeable, and honest about both Bland's strengths and current limitations.
  • Help customers understand what is possible today, what requires additional configuration, and what is not the right fit.
Cross-Functional Partnership
  • Partner closely with AEs on discovery, win plans, POV strategy, and deal execution.
  • Collaborate with FDEs on handoff, resource planning, technical feasibility, and implementation readiness.
  • Feed product gaps, competitive learnings, customer feedback, and recurring technical objections back to Product and Engineering.
  • Contribute to demo assets, POV templates, technical documentation, and repeatable pre-sales materials as the motion matures.
  • Help define what "great" looks like for Solutions Engineering at Bland as the team scales.

Ideal Candidate Profile / Role Requirements
We're looking for someone who can sit at the intersection of technical depth, customer presence, and commercial urgency. You should be comfortable going deep with technical buyers, configuring compelling demos, and working side-by-side with sales to move deals forward.
You do not need to be an LLM or voice AI expert today, but you should be highly curious, technically sharp, and excited to ramp quickly in one of the fastest-moving categories in AI.
Must-Have Experience
  • 4-8+ years of Solutions Engineering, Sales Engineering, or technical pre-sales experience at a B2B SaaS company.
  • Experience running technical discovery and supporting enterprise sales cycles.
  • Has owned or meaningfully contributed to technical POVs, POCs, pilots, or evaluations.
  • Strong understanding of how to define POV success criteria, manage scope, and keep technical evaluations on track.
  • Technical enough to configure demos, understand APIs, work with prompts, reason through integrations, and engage credibly with customer engineering or IT teams.
  • Commercially strong enough to partner closely with AEs and understand how technical work ties back to deal progression.
  • Comfortable operating in ambiguity at an early-stage or high-growth company.
  • Genuine interest in AI, LLMs, voice automation, and enterprise workflow transformation.

Nice-to-Have Experience
  • Background at a horizontal platform, developer infrastructure, API, automation, or workflow company.
  • Experience with voice AI, conversational AI, CPaaS, CCaaS, contact center technology, or customer support automation.
  • Experience selling into regulated or operationally complex industries such as healthcare, financial services, insurance, logistics, or enterprise support.
  • Has helped build or improve demo environments, POV frameworks, SE playbooks, or technical evaluation processes.
  • Startup experience where the pre-sales motion was still being defined.

What "Great" Looks Like in This Role
  • You quickly understand a customer's business, technical environment, and call center workflows, identifying where Bland can drive measurable ROI.
  • You can articulate why Bland's self-hosted voice infrastructure matters and confidently engage with architects, engineering leaders, security teams, and other highly technical stakeholders.
  • You intuitively understand both business and technical requirements, identify the fastest path to value, and clearly communicate that plan to the customer.
  • You build demos that feel tailored to the customer's business-not like a canned product tour.
  • You scope POVs that are achievable, commercially focused, and tied to clear success criteria, timelines, and buying milestones.
  • You understand how enterprise customers buy software and tailor technical evaluations to the priorities of executives, operators, engineering, procurement, and InfoSec stakeholders.
  • You know how to control technical evaluations so they don't drift, stall, or balloon in scope.
  • You are credible with technical buyers while remaining commercially oriented, partnering closely with AEs to drive the technical win.
  • You are direct and honest with customers, especially when discussing tradeoffs, security, implementation complexity, and product limitations.
  • You move with urgency and are never the bottleneck.
  • Every POV you run makes the next one stronger by documenting learnings, improving the process, and raising the bar for the team.

Compensation & Benefits
  • Significant equity in a high-growth, well-funded AI company
  • SF-based with strong in-person culture
  • Full benefits package