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Scribe · NYC, CA · posted 47 days ago
By AtiveSite · Published 07/11/2026 · Updated 10/11/2026 · Every figure is linked to its source below.
| Employer | Scribe |
|---|---|
| Location | NYC, California |
| Field | Engineering, Construction and Energy › Manufacturing and hardware engineering |
| Level | not stated |
| Source category | Solutions Engineering, Solutions Engineering |
| Posted | 2026-09-24 (47 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
About Scribe
Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset for people and AI agents.
We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work.
About the role
We're building something new. As a Solutions Engineer, you'll be an expert in Scribe’s most complex and market-changing products, bridging the gap between closing the deal and delivering transformational outcomes.
You, in partnership with your Account Executive and Customer Success team, will earn the trust of F1000 executives in a discovery call as a technical expert for Scribe’s Workflow AI capabilities, designing groundbreaking solutions and communicating the art of the possible. Then you’ll roll up your sleeves to configure and lead a Proof of Concept for those solutions in the morning.
You will be part of a brand new team and define how Scribe wins and delivers on its most strategic product, Scribe Optimize. You'll build the playbook from scratch, work shoulder-to-shoulder with our Sales, CS, and Product teams, and leave your fingerprints on the way the company scales.
What you'll do
Own the technical layer of enterprise deals, partnering closely with Account Executives from discovery through close — running tailored Optimize demos, leading POC planning sessions, and designing proof of concepts that tie Scribe's Workflow AI capabilities to measurable customer outcomes.
Build ROI narratives grounded in the customer's actual workflow data, so time saved and costs avoided are numbers rather than claims
Clear technical and security questions during enterprise cycles, working with the Engineering team to resolve configuration issues and keep procurement moving
Carry the voice of the customer to the Product team with the evidence attached; documenting what's working, what isn't, and what customers need next
Turn what you learn into repeatable pre-sales assets and playbooks, so the second deal of a given shape runs faster than the first
Hold deep working knowledge of Scribe's platform and serve as a technical reference point for the go-to-market team
What we're looking for
Has 5 or more years in Solutions Engineering, Solutions Architecture, Technical Account Management, or a comparable pre-sales technical role at a high-growth SaaS company
You have strong AI fluency — you understand how large language models work, can speak credibly about LLM architecture, prompt design, model behavior, and AI output quality, and you're excited about the frontier of what Workflow AI makes possible.
You're comfortable working directly with AI/ML Engineering teams — translating customer requirements into technical context, participating in solutioning conversations, and advocating for customer-specific technical needs without losing the thread of business outcomes.
You can understand and articulate Scribe's Workflow AI technical framework — including how workflow data is captured, processed, and surfaced as insights — and you can explain it clearly to both technical and non-technical audiences.
You understand enterprise workflows and operational processes — you've worked with teams running on tools like Salesforce, ServiceNow, and SAP, and you know how companies think about process improvement and automation.
You build trust fast — with executive stakeholders and with end users alike — and you know how to anchor technical conversations to the outcomes that matter to each audience.
You're a builder at heart — energized by the ambiguity of being first, and excited to define what this function looks like rather than step into a pre-made role.
You're data-driven and ROI-obsessed — you know how to build a business case, validate assumptions, and help a customer see real, quantifiable impact.
You're collaborative and low-ego — you thrive in a team environment, partner closely with AEs and CSMs, and see your success as inseparable from theirs.
Nice to have
Experience with process mining, workflow intelligence, or operational analytics tools
Has worked inside an AI/ML product team, or deployed AI-powered products in an enterprise context
Has held a founding or first-of-its-kind role at a high-growth SaaS company
Familiarity with enterprise AI security reviews, model governance frameworks, or responsible AI practices.
This role is not for you if
You prefer a fully defined playbook over building one
You want to stay advisory and out of hands-on technical work
You are looking for a post-sales role. This job is pre-sales focused, and it stays close to the deal.
Why you'll love working here
The reach of a unicorn, the headcount of a startup. We went from $1M to $100M ARR in under four years, with fewer than 200 people. That means more pie than people: scope grows with your impact. Customers like T-Mobile, LinkedIn, HubSpot, New York Life and Northern Trust run on Scribe, so what you own reaches some of the biggest names in business.
Hard problems, real impact. Capturing how work actually gets done, at scale, is the foundation AI needs, and it's hard to get right. You'll build the layer other products and agents run on, in a category we're still defining.
Smart is the floor. Kind is the bar. Low ego, high standards. We compete as a collective and love to see each other win, and One Team, One Dream is one of the most shouted-out values in #values.
Compensation & location
SF-based candidates work hybrid, in the office 3 days per week. NYC candidates are fully remote. Travel is up to 30% to meet customers and prospects.
All full-time employees receive equity in Scribe, and final offers depend on experience and scope.
Benefits
Healthcare Coverage – Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees
Equity – Ownership in what we're building
401(k) Plan – through Vestwell
Flex Benefit – $500/year for home office equipment, productivity tools, learning & development or fitness/wellness
Commuter Benefits – $100/month for SF based employees
PTO – Flexible paid time off and company holidays
Parental Leave – Paid leave to support growing families
Wellness & Family Support – Free Talkspace membership, One Medical access (location-dependent), and Kindbody discounts for family planning
At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer.
Our Worker Privacy notice can be found here.
Field: Engineering, Construction and Energy Sub-niche: Manufacturing and hardware engineering All jobs at Scribe Jobs in California Jobs in NYC, CA California state guide
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This is a — role in the Engineering, Construction and Energy field (Manufacturing and hardware engineering) at Scribe.
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NYC, CA is not one of the cities with its own page in our guides, so here is the state: California.
California is in the West region (Pacific division) and has 39,287,376 residents (the 1st largest of the 50 states and DC by population), with a median age of 37.9. Its economy produced about $4,438,822 million in the latest four quarters (BEA), 1st among states and DC, equal to $112,983 per resident.
The unemployment rate was 5.1% in 2026M09, which is 49th lowest of 51 (1st is the lowest). Employers had job openings equal to 3.6% of employment, 37th highest of 51, a measure of how hard it is to hire. The median wage across all occupations is $58,240 a year ($28.00 an hour), 14% above the national median ($58,240 against $50,980).
The occupations with the most jobs in California are Home Health and Personal Care Aides (970,150 jobs, median $34,320); Fast Food and Counter Workers (449,840 jobs, median $42,280); Retail Salespersons (376,460 jobs, median $38,440); Laborers and Freight, Stock, and Material Movers, Hand (355,500 jobs, median $44,710); Registered Nurses (338,940 jobs, median $140,270). Among occupations with at least 2,000 jobs, the best paid are Airline Pilots, Copilots, and Flight Engineers (median $353,900); Psychiatrists (median $353,500); General Internal Medicine Physicians (median $313,890). Compared with the nation, the state is most specialised in farming, fishing, and forestry (4.1 times the national share of workers) and healthcare support (1.5 times the national share of workers).
Prices are above the national average in California: the regional price parity is 110.7 against 100 for the whole country (51st lowest of 51). Median gross rent is $2,036 a month and the median household income $99,122, so a year of rent equals 24.6% of income; the median home value is $734,700. The state minimum wage is $16.90 (the higher of state and federal rates applies to most workers). State income tax on wages: Graduated, top rate 13.30%. It is not a right-to-work state, so union contracts can require fees from covered workers. It runs a state paid family and medical leave programme.
27.0% of residents were born abroad and 37.1% of adults hold a bachelor's degree or higher. Among workers, 65.7% drive alone, 2.9% use public transit and 17.2% work from home; 19.4% commute 45 minutes or more.
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Construction and field engineering (462) Energy and utilities (625)
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A private-sector role in engineering, construction and energy (manufacturing and hardware engineering) listed 47 days ago. The full description is on this page and on the employer's page.
NYC, CA.
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It was posted on 2026-09-24 (47 days ago). Jobs older than 90 days are not shown.
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