# Software Engineering Manager, Applications at Echo Neurotechnologies

> United States · Manager · Engineering management · open. Source: https://alderhq.app/jobs/greenhouse%3Aecho%3A4320956009 (read 2026-11-10).

## Facts (observed)

- Company: [Echo Neurotechnologies](https://alderhq.app/companies/echo-neurotechnologies)
- Location text: San Francisco; SF Office
- Where it can be done from (inferred): United States (evidence: "Location: San Francisco; SF Office")
- Posted: 2026-07-17 (115 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/echo/jobs/4320956009

## Pay and sponsorship

- Posted pay: $200k–$250k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 218): p25 $239k, median $262k, p75 $300k

## Description (the employer's text)

### Company Overview

Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.

### Team Culture

Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.

### Job Description

We are seeking an experienced Software Engineering Manager to coordinate development of mobile & desktop applications and their integrations with devices, cloud, and ML. You’ll support software engineers in planning and delivering complex work, shaping the overall technical strategy and day-to-day execution. Your work will help translate research-validated neurotechnology into dependable, commercially ready product features.

### Role Responsibilities

- Introduce and foster engineering best practices that emphasize code quality, modularity, usability, and long-term flexibility.
- Mentor and develop engineers through regular feedback, coaching, and technical guidance, including people-management responsibilities.
- Contribute to the design and implementation of key modules across desktop & mobile apps for multiple products.
- Partner closely with Quality and Regulatory teams to produce high-quality technical documentation.
- Translate validated research concepts into robust, production-quality software.
### Role Qualifications

### Required Qualifications

- Significant experience delivering medical software products throughout the full product lifecycle.
- Experience planning and delivering multi-person software projects.
- Demonstrated success leading or mentoring engineers.
- Solid understanding of data-intensive systems touching devices, clients, servers, and ML.
- Excellent communication skills and comfort working across research, product, and quality.
### Preferred Qualifications

- Experience integrating cloud, ML, and device software into a cohesive product.
- Experience building data rich and high performance desktop software.
- Experience shaping engineering processes and establishing technical roadmaps.
Salary

$200,000—$250,000 USD

### What We Offer

An opportunity to work on exciting, cutting-edge projects to transform patients’ lives in a highly collaborative work environment.

Competitive compensation, including stock options.

Comprehensive benefits package.

401(k) program with matching contributions.

### Equal Opportunity Employer

Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.

### Confidentiality

All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aecho%3A4320956009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.