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Staff Product Engineer
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Staff PRODUCT ENGINEER (Contract)
Build it. Ship it. Own it.
Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru
About Counterpart
Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.
The Role
As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.
You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself.
YOU WILL
Own the Problem
- Take accountability for the outcome.
- Talk directly to your users, stakeholders, and peers to discover the problem.
- Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously.
- Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.
Build with AI
- Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
- Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
- Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
- Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
- Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
- Contribute to and manage the context harness as you build and deliver.
Verify and Iterate
- Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
- Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
- Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
- Monitor your services in production. Own the signal. Debug and fix what breaks.
- Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
- Iterate until you move the needle. Shipping is not the finish line. Outcome is.
Raise the Bar
- Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
- Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
- Operate to the engineering standards for quality, reliability, and operational excellence.
YOU HAVE
- 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
- Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
- Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
- A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
- Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
- Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
- Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
- Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
- Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
- Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
- The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
- Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
- Experience working with distributed, remote teams.
HOW THIS ROLE WORKS
Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.
You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.
This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.
WHO YOU WILL WORK WITH
- Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
- Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
- Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
- Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
- Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
- John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.
COUNTERPART'S VALUES
- Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
- Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
- Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
- Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
- Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
- Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.
WE OFFER
- Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
- Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
- Paid Vacation and Time Off
- Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
- Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!
Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.
We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.
We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.
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Lead Machine Learning Engineer
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Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.
As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.
Job responsibilities
- You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals
- You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation
- You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency
- You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
- You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement
- You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions
- You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation
- You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing
- You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization
Job qualifications
Technical Skills
- You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs
- You can design and execute cross-functional requirements based on business priorities
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell
- You have experience with distributed systems and scalable architectures to handle large-scale ML applications
- You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Travel
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
Company Policies
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
#LI-Remote
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Software Engineer, Data Infrastructure & Acquisition - Lima, Peru
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Full Stack Engineer - Contract-to-Hire
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Remote in Peru, Ecuador, Mexico, Brazil, Argentina, or any EST time zone fitting location
We are seeking a Senior Full Stack Engineer (Contractor) to join our dynamic Engineering team. This role is fully remote, offering an opportunity to contribute to exciting projects with the potential to transition into a long-term contractor position. As part of our highly experienced engineering team, you’ll work closely with Dave Brennan and be part of his team, giving you the opportunity to collaborate with him directly, learn from his experience, influence design decisions, and drive innovation while keeping the customer’s needs at the forefront.
WHO YOU ARE
As a Senior Full Stack Engineer (Contractor), you will develop advanced solutions using cutting-edge technologies, including cloud-based services, containerization, AI-driven features, adaptive process automation, and more. We’re looking for a passionate and innovative developer eager to build and scale the next wave of Hyperproof’s capabilities.
This role is a great opportunity for engineers who thrive in a collaborative, fast-paced environment and enjoy working on both frontend and backend solutions.
WHAT YOU WILL DO
- Develop and design engaging user experiences using TypeScript and React, Java, C#; Go experience is also valuable.
- Design backend components, including REST APIs, queueing, storage systems, security layers (role-based access control, encryption), and more.
- Leverage AI-powered development tools (e.g., code assistants, automated testing, and analysis tools) to improve engineering productivity, code quality, and delivery speed.
- Contribute to and help evolve AI-driven product features, including intelligent automation and adaptive workflows.
- Collaborate with Product Managers to understand customer needs and translate them into software solutions.
- Own the quality and performance of the applications you build, ensuring they are reliable, scalable, compliant, and meet both customer and business expectations.
- Build reusable software components for other developers and business users.
- Implement automated testing and ensure code maintainability through documentation and best practices.
WHAT YOU’LL BRING
- 5+ years of experience in software engineering, focusing on design and coding at a component level.
- Professional level of English language proficiency.
- A strong customer-first mindset, with the ability to translate requirements into modern, flexible software solutions.
- Proficiency in FrontEnd and BackEnd technologies.
- Experience developing and integrating REST APIs using JSON and/or XML.
- Familiarity with cloud services (Azure or similar) for deployment and debugging.
- Expertise in asynchronous programming and scalable software development.
- Understanding of agile methodologies (Scrum/Kanban) and the ability to work effectively in agile teams.
- Bachelor's degree in Computer Science, Mathematics, or related experience.
- Excellent communication and collaboration skills, with the ability to mentor and take ownership of projects.
DESIRED DEVELOPERS SKILLS
- TDD (Test Driven Development) and refactoring skills
- Experience in structuring the code for testability to separate unit-testable logic and integration-testable boundary code
- Nice to have: Pairing/mobbing experience and/or XP (eXtreme Programming) experience
This contract-to-hire arrangement provides a path to join the team permanently after successfully completing an exciting 6-12 month project.
CANDIDATE EXPERIENCE & INTERVIEW PROCESS
We value your time and aim to make the hiring process clear and efficient. The interview process includes:
- 20-minute initial chat with our Senior Technical Talent Partner.
- Take-home technical assessment to showcase your skills. Utilizing Coderbyte platform.
- Three 60-minute 1:1 interviews with our engineering team. One of them will be with the hiring manager.
You’ll also have opportunities to ask questions and ensure this role aligns with your career goals.
LOCATION & WORK SETUP
This is a fully remote contractor position. We believe in hiring the best talent regardless of location and fostering a flexible work environment that allows you to thrive.
If you’re looking for an opportunity to work on exciting, high-impact projects with a growth-oriented company, we’d love to hear from you!
WHERE YOU’LL GO
- Hyperproof also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us.
WHAT WE OFFER TO OUR EMPLOYEES
Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ
- Annual compensation reviews + equity
- Unlimited PTO: strongly encouraged to unplug and recharge
- Health: coverage for medical, dental, and vision - employee and dependents
- 401K, which vests immediately, complete with a 4% company match
- 12 weeks of Parental leave and 1 year free diapers and wipes with Honest
- Annual company in-person events and quarterly in-person connects
- $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed.
- $100 quarterly paid wellness stipend
- Pet insurance discount
- Slack channel notifications turn off after 5 pm based on your time zone
- Two Hypercharge weeks of rest where we close company-wide (July & Dec)
It’s an exciting time to be at Hyperproof — we recently raised $40 million in our Series B financing, further cementing Hyperproof as the emerging leader in the risk and compliance management space.
At Hyperproof’s core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets.
We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don’t happen.
Learn more about the @hyperproof culture and how it all started.
A NOTE ABOUT OUR INTERVIEW PROCESS
We’re committed to creating a fair, respectful, and secure hiring experience for everyone. As part of that commitment, we use standard verification steps throughout our interview process.
Here’s what that means for you:
- We may conduct routine verification checks during the hiring process.
- You might be asked additional questions to better understand your experience and background.
- For video interviews, we ask that candidates be on camera without filters or visual modifications.
These steps are applied consistently for all candidates and are designed to ensure an equitable experience for everyone.
EQUAL OPPORTUNITY EMPLOYER
Hyperproof is committed to a diverse and inclusive workplace — it’s one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
To ensure a smooth interview process, all candidates will be required to provide a valid phone number that is not a VOIP (Voice Over Internet Protocol) number. This helps us maintain clear and reliable communication throughout your interview experience.
Ready to apply?
Apply to Hyperproof