Sales Engineer

Phasic; Baltimore, Washington (MD, District of Columbia); Hybrid; USD 115,000 - 170,000; Full time

Benefits offered by this job

Early-stage equity

Monthly health plan allowance

401(k) with match

Flexible PTO

11 company holidays

Job summary

Phasic seeks a Sales Engineer to translate customer specifications into validated heat-exchanger solutions. You own feasibility studies, run technical sales calls, and push deals through NDA, collaboration agreements, and pilots. You balance engineering detail with business value to win on price and performance.

Remote-friendly, field-based role with regular customer visits. You carry a quota and collaborate with the CEO and sales head; you’ll create playbooks and scripts to scale the process,

Qualifications

• BS in mechanical or chemical engineering or a related field.
• 3+ years as a sales engineer or applications engineer selling thermal, HVAC, heat exchanger or process cooling hardware to engineering buyers. 5+ is better.
• Has sized or selected heat exchangers from a customer’s duty point: heat load, fluids, flow rates, approach temperature, pressure drop.
• Has written technical proposals or feasibility studies that a customer’s engineers signed off on.
• Can explain a thermal trade-off to a customer’s engineer and to their CFO in the same meeting.
• Has run several deals or projects at once without a process handed to them, built one that worked, and kept every detail straight.
• Uses AI tools every day and is comfortable writing code, such as a Python script, to automate a task or run an analysis.
• Has a track record in a customer-facing field role: on customer sites and in front of buyers, not behind a desk.

Responsibilities

• Evaluate customer specifications at first contact: heat load, fluids, flow rates, pressure-drop budget, envelope.
• Own the technical conversation on customer calls; explain thermal performance and our design software to engineers and CFOs.
• Write and own feasibility studies end to end: the thermal analysis, the proposed design, the conclusions.
• Use AI and modern tools to move faster: read specs, draft studies, compare design options, and write a quick script when needed.
• Demo our design software to customer engineering teams.
• Drive deals through NDA, collaboration agreement, feasibility study, project plan, pilot; keep records current.

Skills

Sales engineering

Thermal engineering knowledge

Python scripting

AI tools usage

Customer-facing experience

Education

BS in mechanical or chemical engineering or related

Tools

Design software

AI tools

Job description

The Role

You are the engineer in the room when a customer brings us a problem. You read their spec, tell them what we can build and what it is worth to their business, write the feasibility study that proves it, and drive key technical operations through to a pilot program. It is a technical role, but the job is to grow sales: you turn thermal performance into the cost, capacity and risk terms a customer’s leadership buys on.

You report to the CEO and partner with our head of sales. They lead the deal. You own the technical work that wins it, from first spec review to pilot handoff, and you push it forward without waiting to be asked. You carry a quota, and growing sales is as much your job as theirs.

We are not looking for someone who runs the same playbook from their last job. We are a small, AI-enabled team that moves fast. You need to be quick on your feet, fluent in modern tools, and willing to try what has not been tried. You also need the discipline to turn what works into a process that scales.

Today every technical sales conversation pulls our CEO or a design engineer off their work, and demand is growing faster than they can cover it. In your first 6 to 12 months, success looks like this: you run technical sales calls and write feasibility studies without pulling engineers off design work, every deal in the pipeline has a clear next step, you are hitting your quota, and the way you got there is a process the next hire can pick up.

What You’ll Do

• Evaluate customer specifications at first contact: heat load, fluids, flow rates, pressure-drop budget, envelope. Tell the customer, and us, whether there is a fit and what it would take.
• Own the technical conversation on customer calls. Answer questions on thermal performance, additive manufacturing and our design software, and explain, in engineering and business terms, what our heat exchangers buy the customer against a conventional brazed plate.
• Write and own feasibility studies end to end: the thermal analysis, the proposed design, the conclusions. Bring in our thermal engineers when a problem needs them, and only then.
• Use AI and modern tools to move faster: read specs, draft studies, compare design options, and write a quick script or calculator when the tool you need does not exist.
• Demo our design software to customer engineering teams.
• Drive every deal through our sales process: NDA, collaboration agreement, feasibility study, project plan, pilot. Keep deal records current so anyone can see where each opportunity stands and what happens next.
• Build the sales engineering playbook as you go: the templates, tools and checklists that make each feasibility study faster than the last, and that a second sales engineer could pick up on day one.
• Supply the technical inputs behind every quote. Our CEO sets the price.
• Hand engineering a clean package when a study passes, and stay the customer’s technical contact through pilot testing.
• Bring what you hear in the field back to engineering and leadership: what customers ask for, where incumbents fall short, what we should build next.

What You Bring

Required

• BS in mechanical engineering, chemical engineering, or a related field.
• 3+ years as a sales engineer or applications engineer selling thermal, HVAC, heat exchanger or process cooling hardware to engineering buyers. 5+ is better.
• Has sized or selected heat exchangers from a customer’s duty point: heat load, fluids, flow rates, approach temperature, pressure drop.
• Has written technical proposals or feasibility studies that a customer’s engineers signed off on.
• Can explain a thermal trade-off to a customer’s engineer and to their CFO in the same meeting.
• Has run several deals or projects at once without a process handed to them, built one that worked, and kept every detail straight.
• Uses AI tools every day and is comfortable writing code, such as a Python script, to automate a task or run an analysis.
• Has a track record in a customer-facing field role: on customer sites and in front of buyers, not behind a desk.

Nice to Have

• Data center liquid cooling experience: coolant distribution units, liquid-to-liquid heat exchangers, cold plates, or rack-level thermal architecture.
• Familiarity with metal additive manufacturing and what it changes about heat exchanger design.
• Hands-on 1D thermal modeling (EES, MATLAB, Python) or CFD.
• An existing network among data center cooling OEMs, colocation providers or hyperscalers.
• Time at a hardware startup or on a small team.
• Has built an internal tool, automation or AI workflow that a team still uses.

Location and Travel

Remote, anywhere in the US. This is a field role: expect regular customer site visits and a few industry conferences a year.

Compensation and Benefits

Base salary: $115,000 to $170,000, plus uncapped commission against a quota. At target, pay is split 70% base and 30% commission. Where your base lands in the range depends mostly on how much of the engineering you can carry yourself.

• Early-stage equity.
• Monthly allowance that fully covers a top-tier (Gold) health plan for you and 80% of each dependent’s premium, covering medical, dental and vision.
• 401(k) with a dollar-for-dollar match on the first 4% of pay, fully vested from day one.
• Flexible PTO and 11 company holidays.

Why Phasic

• Join as a single-digit hire at a seed-stage company and own real outcomes from day one.
• Get meaningful early-stage equity and the chance to build value over years, not quarters.
• Work on a hard, high-leverage problem at the intersection of physics, manufacturing, and AI infrastructure.
• Try new tools and new approaches on a small, AI-enabled team that expects it.
• Be part of a team that values craft, speed with rigor, and straightforward feedback, and celebrates excellent execution.