About the role:

The Sr. Technical Support Engineer role is a Subject Matter Expert that manages, tracks, diagnoses, and troubleshoots the cases in Technical Support. They also train, educate, assist, and guide other employees within Support and across the company. An important aspect is to identify and alert the necessary stakeholders on larger issues and trends and understand the magnitude and scope of the problems before working with the Technical Lead.

What You'll Do:

• Communicate with customers about reported issues, escalated cases, and urgent inquiries to minimize customer churn
• Utilize tools developed by the engineering team to modify user/vehicle data for resolving support issues
• Perform data analysis to assess the impact and prevalence of issues using analytics tools like Grafana, DataDog, Redash, AWS Cloudwatch, and Pendo
• Determine how to resolve support issues by identifying changes needed in data, hardware, or processes, and applying them with minimal user disruption
• Determine root causes of errors/bugs using available data and tools, and report them to the Technical Leads
• Exceed customer expectations in terms of quality, timeliness, documentation, resolution, and overall customer experience
• In-depth knowledge of Motive products and features, with expertise in navigating the Motive Front End Dashboard and Backend Console
• Build trusting relationships with customers through open and interactive communication over the phone, chat, and emails
• Provide constructive feedback and write Knowledge-base articles to share knowledge and support other team members

What We're Looking For:

• 1-2 years of experience in Customer Support, Technical Support, or Software Development, preferably in customer-facing roles
• Bachelor's Degree in Computer Science/Engineering (Software, Electrical, Electronics) or equivalent practical experience
• Understanding of RESTful APIs, SQL, Developer Knowledge, and OAuth 2.0.
• Intermediate-level expertise in any programming language (e.g., Python, C++, C#, Ruby)
• Familiarity with the software development process and understanding of tools for SAAS-based products
• Proficient technical skills for analyzing crucial data points and ability to perform in-depth root cause analysis
• Familiarity with hardware and firmware level troubleshooting
• Share knowledge and mentor technical support engineers to foster a collaborative and high-performing team environment
• Excellent written and verbal communication skills
• Flexibility to participate in on-call rotation

About the Role: 

Motive is looking for an experienced Technical Account Manager (TAM)  to join our Global Technical Support organization to provide white-glove service, technical support, and executive-level communications to our customers. In this role, you will be focused on driving technical excellence and delivering a seamless support experience for Motive’s most strategic and complex enterprise customers. This role centers on leading the resolution of high-impact technical challenges, serving as the primary point of escalation for the team, and building trusted relationships with customers through expert guidance and advocacy. As a Senior Technical Account Manager, your workday is focused on a group of high-priority clients who recognize and relate to you as their central point of contact for Motive’s product support issues, including proactive technical support, upcoming feature consultation, issue escalation, training recommendations, and communicating procedural and status updates on the customer’s environment. You act as the customer advocate as you work closely with engineering, product management, and other key areas to innovate and improve performance around product requirements, enhancements, process improvements, and industry best practices. 

What You’ll Do: 

• In this role, you will be adept at both building relationships and resolving issues at all levels within Technical Support.
• Serve as the senior subject matter expert responsible for troubleshooting, diagnosing, and act as the senior escalation point and subject matter expert for complex, high-impact technical issues faced by enterprise clients, driving resolution for cases that go beyond standard TSE expertise.
• Collaborate extensively with Product, Engineering, Escalations, and specialized support teams to address product-level defects, ensure technical alignment, and expedite escalated case resolution for enterprise accounts.
• Build, foster and maintain relationships with your accounts by proactively monitoring their account and providing them timely updates. 
• Build SQL based queries for proactive identification of device health and monitoring. 
• End-to-end ownership of the most critical customer issues/escalations including initial troubleshooting, identification of root cause, and issue resolution.
• Build a strong working relationship with the Account Management team to manage and set the customer expectations accordingly by focusing on customer satisfaction. 
• Providing feedback to Product teams on common or emerging issues proactively to mitigate potential customer escalations. 
• Be the architect of the account level documentation by ensuring its adaptation. 
• Personalizing customer experience by strengthening customer relationships. 
• Train, coach and provide consultations to your direct team (Technical Support Engineers and TAMs).
• Ensure thorough process and SLA (Service Level Agreement) adherence during multi-channel enterprise support operations, including ownership of urgent, after-hours escalations as required.
• Participate in on-call rotation; be available outside of normal working hours to facilitate customer upgrades and change management practices.

What We’re Looking For: 

• Minimum 2 to 4+ years of experience in Technical Support with increasing responsibility.
• Have a good understanding of the Global Mid-Market/ Strategic/Enterprise market and preferably have hands-on experience in providing them a white-glove customer experience. 
• Proven experience with handling routine change management requests directly reported from the end user – data change, bug fix, consultation etc. 
• Proven ability to deep dive technical problems and diagnose the underlying issues. 
• Experience with doing code reviews for custom configurations for end users by thoroughly analyzing the dependencies utilizing the CMDB/centralized database. 
• Excellent expertise with Root Cause Analysis by using 5 Whys, Fishbone Diagram or Chronological Timeline.
• Strong analytical and problem-solving skills with the ability to manage critical and complex issues in high-pressure environments
• Proven track record of using and implementing programming languages for issue analysis – Python, C/C++, Java etc. 
• Ability to analyze data and identify areas of improvement both in service and product by utilizing SQL. 
• Experience with hardware devices, firmware upgrades, change management and related testing practices.
• Experience with Third Party integrations such as Transportation Management or Fleet Maintenance systems.
• Technical background with preferred qualifications of Computer Science or Engineering is a must.
• Motivated individuals with eagerness to learn and go above and beyond. 
• Fluent in spoken and written English.
• Team player and can work in a professional environment.
• Expertise with APIs – bonus skillset.  

About the Role

We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.

This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.

This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.

What You’ll Do

• Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
• Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
• Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
• Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
• Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
• Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
• Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.

What You’ll Bring

• 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
• Strong understanding of modern cloud-native stacks, including:
  - Kubernetes and containerized services
  - Cloud infrastructure (AWS/GCP/Azure)
  - Data infrastructure (e.g., SQL, data lakes, data warehouses)
• Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
• Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
• Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.

Bonus Skills

• Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
• Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
• Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
  Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR).
• Experience working in fast-paced, high-growth environments or with distributed technical teams.

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

About the Role

The Associate SDET is primarily responsible for understanding the software’s functionality and ensuring that automated tests run smoothly. They work under the guidance of senior members to learn the codebase and automation framework.

What you'll do: 

• Write and maintain basic automated test scripts (UI and API) 
• Execute manual tests when automation is not yet available
• Document bugs with clear reproduction steps and collaborate with developers on fixes
• Perform regression testing to ensure new code hasn't broken existing features

What you'll bring: 

• Basic proficiency in a programming language (Java, Python, C#), familiarity with testing tools (Selenium, Playwright), and an understanding of the SDLC.
• Bachelor’s degree in computer science
• Strong programming skills and experience with automation frameworks 
• Understanding of distributed systems and scalable architectures 
• A proactive mindset and passion for quality excellence 

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

About the Role

You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems. You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals.  

What You’ll Do

• Be a part of a globally distributed team of backend engineers to design/develop/architect Securiti’s core backend platform
• Help create architecture documents, functional specifications, design documents, and developer test plans
• Coordinate end-to-end development, deployment, and testing of new features and enhancements in the product
• Write reliable, secure, performant, and scalable code
• Perform code reviews and analysis
• Monitor platform performance and be on-call to address any urgent issues
• Work with customer support and address customer issues
• Integrate new technologies into back-end cloud infrastructure

What You’ll Bring

• Minimum 7 years of experience developing software, with some experience using container technologies like Docker
• Experience in building highly available and scalable distributed systems for the cloud
• Strong conceptual understanding of multi-threaded applications
• Professional development experience in GoLang, Java, C++, or Python
• Good knowledge of Linux and bash scripting 
• Good software development practices: should thrive in an environment of rapid development, peer code reviews, and write good functional/unit tests
• Experience with microservices and REST-based HTTP/2 architectures
• Experience with SQL (Postgres) and NoSQL (Mongo/Elasticsearch) technologies 
• Knowledge and use of performance tuning, profiling, and software metrics tools
• Very strong diagnostic and troubleshooting skills
• Proven ability to utilize creative thinking to solve complex engineering problems
• Understanding of continuous integration tools, including Jenkins
• Experience with agile development methodologies is a must
• Outstanding verbal, written, and interpersonal communication skills
• High level of energy, teamwork, can-do attitude, and willingness to learn new technologies
• Working knowledge of networks and web concepts

Bonus Skills

• Experience with cloud platforms such as AWS, GCP, and Azure
• Experience with Containerisation technologies (Kubernetes, Docker) 
• Experience with tools like terraform, helm, docker
• Understanding of Network Services such as Load-Balancers, Security, QoS 
• Understanding of platform level concerns, such as configuration management, network request routing, blue/green or canary deployments, in-service software upgrade 
• Experience in building API based connectors to cloud-based SaaS services is a big plus

What You’ll Get 

• Competitive compensation package
• Comprehensive health and wellness benefits
• Professional development opportunities

About the Role  

You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications  solving a variety of hard data analytics and enterprise problems.  You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals.  

What You’ll Do

• Develop and maintain a full stack SaaS application in the cloud environment
• Build, design, deploy, maintain the implementation of Cloud solutions across multiple public cloud offerings, e.g. AWS, Google Cloud and Microsoft Azure
• Participate in technology evaluation and reengineering teams to support strategy-definition and continuous process improvement activities
• Implement and refine cloud future state architectures and roadmaps including architecture standards, guidelines, and industry best practices.
• Perform ongoing performance tuning, upgrades, and resource optimization as required. Configure CPU, memory, and disk partitions as required; maintain data center environmental and monitoring equipment.
• Participate in the design, implementation and management of workload automation initiatives 

What You’ll Bring

• Software programming languages: Golang, Python experience required 

• Working knowledge of IaC (infrastructure as code) principals - Cloud formation, Terraform 

• Bachelor's Degree 

• 3+ years of software development experience required  

• 3+ years working with cloud platforms 

• Experience with Agile and DevOps concepts 

• Extensive knowledge of Linux based systems including software, networking and storage 

• Experience architecting cloud infrastructures on Amazon Web Services (AWS) for small, medium scale and enterprise level applications 

• Good knowledge of security (SAML, OAuth, OpenID, Kerberos, Policies, entitlements etc.) 

• Infrastructure deployment experience in the Public cloud 

• Knowledge of security controls for the Public cloud (encryption of data in motion/rest and key management) 
• Knowledge of Linux containers. 

What You’ll Get 

• Competitive compensation package

• Comprehensive health and wellness benefits

• Professional development opportunities

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.

What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options