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Pindrop

Voice authentication, security, and intelligence provider

Senior Software Engineer - Authentication

Full-Time
$130k - $170k
Senior
Remote in USA
RemoteRegular team on-sites, company-wide events, and intentional in-person gatherings are part of the remote-first role.
Software EngineeringBackend Engineering

About the job

Requirements
  • 5–7+ years of professional software development experience building backend services and APIs.
  • Strong experience with Go, Python, or similar languages, and a solid foundation in data structures, algorithms, concurrency, and Linux-based development.
  • Hands-on experience designing and operating cloud-native systems in AWS or GCP, including managed services such as S3, DynamoDB, Kinesis, and IAM.
  • Experience with CI/CD, DevOps, Docker, Kubernetes, and production ownership, including deploying, monitoring, troubleshooting, and supporting services in live environments.
  • Ability to drive work independently from design through production, exercising judgment around performance, scale, security, and reliability in authentication flows.
  • Ability to operate in security-sensitive environments and handle context switching, rapid troubleshooting, and ambiguity while maintaining quality.
  • Strong communication and collaboration across engineering, product, test, research, and other cross-functional partners.
Responsibilities
  • Design, develop, test, deploy, and monitor high-performance backend services and APIs using Go and Python, emphasizing secure, low-latency authentication and identity workflows.
  • Build and maintain cloud-native services across AWS and GCP, including S3, DynamoDB, Kinesis, and IAM, focusing on reliability, scale, and secure production operation; build data pipelines that feed downstream machine-learning and risk models used in authentication decisions.
  • Deliver features through the full software development lifecycle, including implementation, automated testing, deployment, and operational support, using CI/CD and infrastructure-as-code practices.
  • Solve software engineering problems in authentication, identity, and fraud prevention; contribute to architecture decisions, threat-aware design, and ongoing improvements to engineering best practices across the team.
  • Integrate and consume AI/ML capabilities, such as model-backed risk scores, deepfake detection signals, or ML-driven policies, in collaboration with Research, MLOps, and Protect/Passport teams; help productionize models into scalable, observable services.
  • Use observability and diagnostics tooling, including metrics, logging, tracing, and dashboards, to troubleshoot production issues, reduce alert noise, and improve reliability and latency for authentication journeys.
  • Partner with software engineering, test engineering, research, product, Protect, Passport, and Core teams to deliver new capabilities and improve existing ones, including AI-enhanced identity and fraud experiences for customers.
  • Participate in the team’s on-call rotation, including helping cover after-hours alerts as distributed support coverage expands for the customer-facing authentication platform.
  • Contribute to documentation, runbooks, and design reviews that clarify authentication service behavior, safe use of AI/ML components, and how other engineers should integrate with the platform.
  • Mentor colleagues through code reviews, pairing, and day-to-day collaboration.
Desired Qualifications
  • Experience with backend data stores and messaging technologies such as Redis, MySQL, RabbitMQ, and Elasticsearch.
  • Experience in authentication, identity, fraud prevention, or other security-sensitive product environments.
  • Experience with observability tooling and production diagnostics across metrics, logging, and tracing.
  • Exposure to UI work or adjacent product experiences that connect backend systems to customer-facing workflows.

About the company

Pindrop provides voice authentication and security solutions mainly for financial institutions and consumers. It uses a person’s unique voice to verify identity without security questions, helping prevent fraud from spoofed calls. The system analyzes voiceprint data and call or app session information to verify who is speaking and can be embedded into mobile apps and smart devices for hands-free access. Its goal is to reduce fraud and operational friction for banks, insurers, and brands by offering a safer, smoother verification method.

Company Size

201-500

Company Stage

Debt Financing

Total Funding

$402.9M

Headquarters

Atlanta, Georgia

Founded

2011

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Simplify Jobs

Simplify's Take

What believers are saying

  • BotStopper cut bot activity 94.3% at a healthcare customer within four months.
  • May 12, 2026 Third Circuit affirmed Pindrop’s BIPA exemption, reducing privacy litigation overhang.
  • February 3, 2026 NiCE partnership and FICO marketplace placement expand distribution across enterprise buyers.

What critics are saying

  • NiCE and Verint now bundle competing voice fraud tools, compressing Pindrop’s pricing power.
  • Pindrop’s expansion into healthcare, insurance, and meetings invites broader platform competition from Zoom and FICO.
  • BotStopper’s standalone launch risks commoditizing Pulse, inviting customers to buy detection without broader Pindrop suites.

What makes Pindrop unique

  • September 16, 2026 BotStopper detects AI voice agents using Pindrop Pulse in two seconds.
  • Pindrop’s AI Voice Consortium tracks 5,000-plus voices, enabling agent identification, not mere synthetic detection.
  • January 23, 2026 NiCE and February 3, 2026 Zoom integrations embed Pindrop inside workflows.

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Benefits

Competitive Compensation

Remote First Culture

Unlimited Paid Time Off

Home Office Allowance

Personal Development

Wellness and Focus Days

Competitive 401(k) Match

Variety of Health, Vision and Dental Plans

Collaborative Culture

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
AiToolAdvi
Sep 21st, 2026
Pindrop BotStopper: detect AI callers in real time.

Pindrop BotStopper: detect AI callers in real time. Something genuinely new happened in enterprise voice security this week. On September 16, 2026, Pindrop - the deepfake and fraud detection company used by many of the country's largest banks and insurers - shipped a product that tackles a problem most security teams haven't even named yet: how do you tell whether the caller on the line is a human, a legitimate AI agent, or a malicious bot? The answer is Pindrop BotStopper, and it's one of the more interesting security launches of the month. The problem BotStopper is actually solving. For years, contact center security focused on one question: is this caller who they claim to be? Voice authentication and deepfake detection tools - including Pindrop's own Pulse technology, which AI Tool Advi covered in its Reality Defender vs. Pindrop Pulse comparison - were built to catch human fraudsters impersonating legitimate customers. But the threat landscape has shifted in a way that older tooling simply wasn't designed for. AI agents are no longer just calling humans - they're calling enterprise systems directly, checking balances, filing claims, and negotiating on behalf of the people they represent, and most contact centers cannot tell a legitimate agent from a malicious bot. That gap is the entire rationale for BotStopper. Pindrop reports that AI-powered attacks across more than 700 million customer interactions have increased nearly 1,680% since late 2024. That's not a typo. And these are not simple scripted bots - they are AI agents that adapt in real time, mislead when challenged, and go off the rails in pursuit of their goals. Pindrop is seeing them across healthcare, financial services, insurance, and retail, probing systems for information, consuming contact-center capacity, and impersonating legitimate customers. What BotStopper actually does. BotStopper is designed to identify whether a caller is human or machine in approximately two seconds. It is built on Pindrop Pulse, the company's existing deepfake detection technology used by enterprises to identify synthetic voices. But the differentiation here goes beyond just flagging a voice as synthetic. A new registry of more than 5,000 AI voices in a Pindrop-managed database lets BotStopper recognize known AI agents, not just flag that a voice is synthetic. That distinction matters: knowing a call is from a machine is useful; knowing which machine is calling is what enables policy decisions. The registry is part of what Pindrop is calling the AI Voice Consortium. Pindrop introduced the AI Voice Consortium as a new source of intelligence for its Pindrop Intelligence Network, launching with a registry of more than 5,000 AI voices. The consortium adds intelligence about known AI voices to the network, powering BotStopper and helping enterprises detect AI agents and automated callers in real time. Think of it as a "know your agent" layer for the voice channel - the call-center equivalent of what payment networks and identity providers are building for digital transactions. The detection engine sits underneath a broader strategic vision Pindrop calls agentic identity. BotStopper answers the first question about an AI caller: is it a machine? The questions that follow - which agent is it, who does it represent, and what should it be allowed to do - are where Pindrop is taking the platform next. The company's CEO, Vijay Balasubramaniyan, was explicit at the product launch that the goal is not to block AI agents - legitimate agents are going to call enterprises on behalf of real customers and they should be welcomed. The goal is to know which agent is calling, who it represents, and what it should be allowed to do. Who it's for - and real-world results. Unlike Pindrop's existing integrated offerings, BotStopper is available as a standalone product to enterprises in any industry without requiring another Pindrop product. That's a meaningful shift in go-to-market. Previously, getting access to Pindrop's voice intelligence meant committing to its broader platform. Now, a healthcare organization or a regional bank that just wants bot detection can buy that specific capability on its own. Pindrop has already published production results. At one leading healthcare organization, bot calls peaked at 6,668 in a single month, when approximately $15.1 million in HSA balances were exposed to risk. Within four months of deploying Pindrop's real-time bot detection, that activity had fallen by 94.3%. It's worth noting these figures come from Pindrop's own case study data rather than an independent audit - but the numbers are specific and the scenario is plausible enough to be instructive. The underlying detection technology has been independently assessed. The detection engine behind BotStopper has been independently validated: in a June 2026 Podonos benchmark of audio deepfake detection systems, Pindrop Pulse technology was one of only four systems to exceed 95% accuracy and was identified by Podonos as the fastest accurate detector evaluated. Speed matters here because the detection has to be invisible to the caller - a two-second assessment window is only useful if it doesn't introduce noticeable lag into the conversation. Pricing and access. Pindrop has not published a public price card for BotStopper - pricing for enterprise voice security tools at this level is nearly always custom and contract-based. What the company has confirmed is that existing Pindrop Pulse for Call Center customers receive BotStopper and access to the AI Voice Consortium at no additional cost. For new customers, those who purchase BotStopper as part of the full Pindrop product suite may qualify for up to $1 million in reimbursement under the Pindrop Pulse Warranty - a warranty tied to a three-year subscription commitment, per the terms at pindrop.com. BotStopper is available to any enterprise, in any industry, with no other Pindrop product required, which means standalone buyers can get in without that full-suite commitment, though warranty coverage would likely be scoped differently. | Feature | Details | | Launch date | September 16, 2026 | | Detection speed | ~2 seconds (human vs. machine) | | AI Voice Registry | 5,000+ known AI voices (AI Voice Consortium) | | Underlying engine | Pindrop Pulse (deepfake detection) | | Independent benchmark | 95%+ accuracy (Podonos, June 2026) | | Available as standalone? Yes - no other Pindrop product required | | Free for existing customers? Yes - included for Pindrop Pulse Call Center subscribers | | Pricing model | Custom/enterprise; up to $1M warranty with 3-yr suite subscription | The bigger picture: why this matters in September 2026. BotStopper lands at a moment when the agentic AI wave is colliding directly with enterprise security infrastructure. Autonomous AI agents - the same kinds of systems driving productivity in tools like developer environments and marketing automation - are increasingly being deployed to interact with external systems on behalf of users. That's useful in controlled environments. It becomes a security problem the moment an attacker can dress a malicious bot in the same clothes as a legitimate agent. Bots can downgrade subscriptions, cancel accounts, consume agent time, and inflate operating costs. BotStopper is powered by the AI Voice Consortium with 5,000+ registered AI voices. Automated callers can probe your systems and workflows before attempting fraud or account takeover. BotStopper helps identify machine-driven reconnaissance early, giving your security teams another signal before the attack progresses. That last point is worth emphasizing: reconnaissance is typically the step before the breach, and stopping it at the phone channel is genuinely novel. It's also worth situating this in the broader context of AI-driven cybersecurity investment happening right now. While tools like OpenAI's Daybreak cyber model focus on the network and code layer, and platforms like those covered in its Darktrace vs. Vectra AI NDR breakdown address network traffic behavior, BotStopper carves out a specific and previously undefended surface: the voice channel. It's a narrow wedge, but it's the right wedge for a genuinely new class of threat. Verdict. Bottom line: Pindrop BotStopper is the first enterprise-grade, standalone product specifically built to detect and identify AI agents calling into contact centers - and it launched this week. The technology foundation is solid (built on Pulse, independently benchmarked at 95%+ accuracy), the AI Voice Consortium registry is a genuine differentiator, and the standalone availability lowers the barrier considerably compared to Pindrop's previous all-or-nothing platform model. The absence of a public price is the main friction point for buyers who want to compare it quickly. If your organization runs a high-volume contact center in banking, insurance, or healthcare, this deserves a demo conversation now - not in six months when bot traffic in your environment has already tripled. * Available as a true standalone product - no other Pindrop tools required * ~2-second detection speed keeps the caller experience intact * 5,000+ AI voice registry identifies which agent is calling, not just that one is * Free for existing Pindrop Pulse Call Center customers * Independently benchmarked accuracy above 95% (Podonos, June 2026) * Roadmap toward full agentic identity (permissions, agent trust levels) is clearly articulated * No public pricing - enterprise sales motion required to get a number * $1M warranty only available with a three-year full-suite subscription commitment * Production results come from Pindrop's own case studies, not independent audits * Agentic identity features (beyond "is it a bot?") are still on the roadmap, not yet shipped * Voice channel focus only - doesn't address AI agents operating via API or chat

Associated Press
Sep 16th, 2026
Pindrop launches BotStopper to detect AI voice agents, cuts bot activity by 94% at Fortune 500 firm

Pindrop has launched BotStopper technology to detect AI voice agents and automated callers in real time. The standalone offering is built on Pindrop's Pulse deepfake detection engine and includes a registry of over 5,000 AI voices. In one Fortune 500 healthcare deployment, the technology reduced bot activity by 94.3% within four months after identifying more than 30,000 bot calls. Pindrop research found AI-powered attacks increased nearly 1,680% since late 2024 across over 700 million customer interactions. The company also introduced the AI Voice Consortium and expanded its Pulse technology to virtual meetings and hiring platforms. BotStopper is available as a standalone product to enterprises across industries. Pindrop is trusted by 14 of the top 20 US banks and serves major healthcare and insurance providers.

SpeechTech Magazine
Jun 3rd, 2026
Eltropy expands voice authentication ecosystem with Illuma, IDgo, and Pindrop.

Eltropy expands voice authentication ecosystem with Illuma, IDgo, and Pindrop. Eltropy, providers of an agentic artificial intelligence and conversations platform for credit unions and community banks, has partnered with Illuma, IDgo and Pindrop to help credit unions and community banks modernize identity verification across consumer interactions. Eltropy's expanded authentication ecosystem gives credit unions and community banks flexible, layered identity verification options embedded directly into conversational workflows across consumer interactions. The partnerships help institutions strengthen fraud prevention, improve consumer experience, and build trust across both human and AI workflows. The Eltropy platform now supports the following authentication approaches: * Illuma provides passive voice security combining voice biometrics, fraud risk scoring, adaptive multifactor authentication, and collaborative intelligence during member conversations. * Pindrop adds voice security, fraud detection, spoofing protection, and authentication intelligence across voice interactions. * IDgo enables trusted device-based authentication using native device verification methods. * Existing support for OTP and document verification remains available within the Eltropy platform. "Financial interactions are ultimately about trust," said Abhishek Tiwari, chief product officer of Eltropy, in a statement. "Members increasingly expect interactions that are fast, intuitive and secure, without being forced through outdated verification experiences. By embedding flexible authentication options directly into the Eltropy platform, we're helping credit unions and community banks strengthen fraud prevention, reduce friction, and build the trusted foundation needed for both human and generative and agentic AI-powered experiences." "Voice fraud has evolved far beyond traditional authentication challenges, forcing financial institutions to rethink how they secure every conversation," said Milind Borkar, founder and CEO of Illuma, in a statement. "IllumaSHIELD delivers a modern voice security approach that combines passive voice authentication, deepfake detection, adaptive MFA, and real-time fraud intelligence into a single platform. With the simplicity of passive end user enrollment regardless of calling device, paired with the fastest-to-deploy voice security solution in the industry, financial institutions routinely report deployment in days and record-breaking adoption metrics. Financial institutions reduce verification time by up to 95 percent, lower average handle time by over 80 seconds per call, and strengthen protection against increasingly sophisticated AI-driven attacks, all while delivering a faster, more seamless customer experience." "Financial institutions are looking for stronger authentication that does not burden members or frontline teams," said Rocky Scales, CEO of IDgo, in a statement. "Device-based authentication helps establish persistent trust while improving both security and member experience across communication channels." "Trusted authentication is becoming foundational infrastructure for AI-powered customer engagement," said Bucky Wallace, chief revenue officer of Pindrop, in a statement. "Through our work with Eltropy, financial institutions can layer advanced voice authentication, fraud detection, and spoofing protection into member interactions to help build confidence, security, and trust in real-time digital interactions."

Yahoo Finance
May 29th, 2026
FICO partners with Pindrop to integrate AI fraud detection into banking workflows

FICO has partnered with Pindrop to integrate AI-powered fraud detection into the FICO Platform. The agreement embeds Pindrop Protect to deliver real-time, multi-signal fraud intelligence for financial institutions, including deepfake detection and consortium intelligence within FICO decisioning workflows. The collaboration positions FICO as an orchestration layer for high-risk interactions such as account opening, wire transfers and call centre authentication. By hosting Pindrop Protect in the FICO Marketplace, the company aims to make advanced fraud controls function as a plug-in for banks and telecoms. The partnership expands FICO's role beyond credit scoring into voice, device and behavioural signals, adding another data-rich partner alongside existing arrangements with AWS and Plaid.

Help Net Security
Mar 17th, 2026
Pindrop Fraud Assist uses AI to analyze calls and strengthen fraud prevention.

Pindrop Fraud Assist uses AI to analyze calls and strengthen fraud prevention. Pindrop has announced Pindrop Protect Fraud Assist, the agentic fraud investigation and case management solution for real-time phone conversations. As AI fraud attacks surge across contact centers, Pindrop Protect Fraud Assist embeds agentic AI directly into the fraud investigation workflow, helping analysts investigate smarter, close cases faster and keep pace with rising fraud volumes, without adding headcount. As an AI assistant to the fraud analyst, the agent delivers real-time call summaries, deep risk insights and voice intelligence to accelerate investigations. It enables faster evidence review with playback speed control and automatically generates case documentation, seamlessly integrated within a single fraud investigation workflow. "Fraud Assist has transformed how our team investigates fraud cases," said Steve Furlong, Director of Fraud Management at FNBO. "The ability to leverage generative AI to translate and summarize phone calls and get deeper fraud insights has helped our team resolve cases faster and more accurately. Fraud Assist is helping our team handle significantly more fraud cases without additions to staff. Pindrop is applying AI where it delivers real operational impact." According to Pindrop's Inside the 2025 AI Fraud Spike report, AI fraud surged 1,210% in 2025, outpacing traditional fraud growth. Trust models built on human perception and static credentials are under pressure. AI-driven fraud attacks are accelerating across financial services, fintech, insurance, retail, healthcare and other high call volume industries. Fraud analysts are facing growing case backlogs, tighter SLA windows and increasingly sophisticated fraud tactics. Investigations often require repeated call listening, manual note-taking, cross-referencing disconnected systems and piecing together fragmented risk signals. The result: slower resolutions, operational strain and higher fraud exposure. As generative AI fraud is projected to reach $40 billion in the U.S. by 2027, enterprises are rethinking how fraud investigations are conducted in real time. "Fraudsters are weaponizing AI at scale. Fraud teams can't fight tomorrow's threats with yesterday's tools," said Nicholas Holland, Chief Product Officer, Pindrop. "We're embedding agentic AI directly into the fraud investigation process, driven by real risk signals - so organizations can accelerate investigations, improve accuracy and scale operations more efficiently." Early customer results show strong impact. FNBO achieved a 50% improvement in fraud case disposition accuracy using Fraud Assist. Across beta customers, analyst efficiency increased by up to 70% on average. Together, these gains could help organizations save an average of $1 million annually through operational efficiencies and fraud-loss avoidance. From legacy workflows to agentic AI. One of Fraud Assist's first customers, First National Bank of Omaha (FNBO), joined forces with Pindrop to modernize its fraud investigations with Fraud Assist, delivering transformative impact by: * Reducing case investigation time by 35-40% * Increasing fraud analyst accuracy by 50% * Increasing case productivity by 42% without additional headcount Fraud Assist was adopted across teams, embedding real-time AI insights directly into daily workflows within the Protect platform. By transforming legacy investigations into a faster, AI-powered operation, FNBO has avoided millions in fraud losses while delivering a best-in-class customer experience. Pindrop Protect Fraud Assist helps enterprises modernize contact center fraud investigations, improve case accuracy and strengthen operational resilience, all within a unified, AI-powered workflow. More about