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Reporting to the CFO, the Vice President of Financial Planning and Analysis will play a strategic role in business planning and analysis, financial forecasting, and management reporting across the company.

The role will report to the CFO and lead a global team.

Ribbon Communications is seeking an experienced and strategic Vice President of Financial Planning & Analysis to lead the company's global FP&A function. Reporting directly to the CFO, this executive will be responsible for enterprise-wide financial planning, forecasting, reporting, and performance management across the entire organization.

This role requires a proven FP&A leader who has previously owned the consolidated financial planning process for a global company, including responsibility for the overall company P&L, long-range planning, quarterly guidance, executive reporting, and Board-level financial analysis. The successful candidate will serve as a trusted advisor to the CFO, CEO, Executive Leadership Team, and Board of Directors, helping drive strategic decisions, operational performance, and long-term growth.

Location

Hybrid – Plano, TX (Dallas-Fort Worth Metroplex)

Strong preference will be given to candidates located in the Dallas-Fort Worth Metroplex. Regular in-person collaboration with the CFO, Executive Leadership Team, and key business stakeholders is expected.

Responsibilities

Lead all aspects of the company's global financial planning, forecasting, budgeting, and reporting processes.
Own the consolidated company financial model and enterprise-wide planning process across all business units, functions, and geographic regions.
Partner with the CFO and CEO to develop and execute the company's financial strategy.
Lead annual operating plans, quarterly forecasts, monthly financial reviews, and long-range strategic planning.
Provide insightful analysis of company performance, including revenue, profitability, cash flow, margins, and operating expenses.
Establish and manage quarterly revenue and profitability guidance.
Develop executive-level reporting and presentations for the CFO, CEO, Executive Leadership Team, and Board of Directors.
Drive accountability across the organization through KPI reporting, financial dashboards, and performance metrics.
Lead scenario modeling, risk analysis, and strategic planning initiatives to support decision-making.
Evaluate growth opportunities, including acquisitions, divestitures, new business initiatives, and changes in operating models.
Identify opportunities to improve planning processes, reporting capabilities, financial systems, and automation.
Build, mentor, and lead a high-performing global FP&A organization.

Required Qualifications

15+ years of progressive financial planning and analysis leadership experience.
Bachelor's degree in Finance, Accounting, Economics, or a related field.
Experience serving as the senior FP&A leader for a global organization.
Direct responsibility for the consolidated company-wide P&L of an entire enterprise.
Proven experience leading FP&A activities across a complete company, not solely a division, business unit, product line, functional area, or geographic region.
Proven track record of establishing, managing, and communicating quarterly revenue and profitability guidance.
Experience partnering directly with CEOs, CFOs, Executive Leadership Teams, and Boards of Directors.
Experience leading global FP&A teams supporting multiple regions and business functions.
Advanced financial modeling, forecasting, budgeting, and scenario-planning expertise.
Strong executive presence with the ability to influence and communicate effectively at all levels of the organization.
Excellent analytical, strategic thinking, and problem-solving skills.
Demonstrated ability to lead organizational change, improve processes, and drive operational excellence.

Preferred Qualifications

Experience within a publicly traded technology company.
MBA, CPA, or other advanced financial credential.
Experience supporting earnings preparation, investor-facing financial processes, and public company reporting requirements.
Experience with Oracle, Hyperion, Planful, or similar enterprise financial systems.

What We're Looking For

This is not a divisional FP&A leadership role. The successful candidate will have led the financial planning and analysis function for an entire organization and have experience driving company-wide planning, forecasting, guidance, performance management, and executive decision support at the enterprise level.

The ideal candidate combines strong financial acumen with strategic leadership, operational insight, and the ability to influence business outcomes across a global organization.

The anticipated base pay range for this full-time position in all geographic locations is $190,000.00 - $240,000.00 annually. Actual compensation within the range will be determined based on a variety of factors, including, but not limited to the candidate’s experience, skills and education. The compensation package also includes eligibility for an incentive plan and comprehensive benefits, subject to applicable requirements.

Please Note:

'All qualified applicants will receive consideration for employment without regard to race, age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, on the basis of disability, or other characteristic protected by applicable law.'

US Citizens and all other parties authorized to work in the US are encouraged to apply.

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Summary

Ribbon is looking for a Digital Signal Processing Engineer with rich hands-on experience and strong technical expertise to design, develop, and implement advanced Digital Signal Processing (DSP), Machine Learning (ML), and Deep Learning solutions for voice security, cybersecurity, and voice fraud prevention.

In this role, you will research, develop, and deploy solutions that leverage speech processing, signal analysis, machine learning, and deep learning to address challenges such as synthetic voice detection, audio deepfake detection, speaker verification, Automatic Speaker Verification (ASV) spoofing detection, voice authentication security, and fraud detection.

You will be responsible for end-to-end software development, including requirements discussions, design, implementation, model development, testing, deployment, and collaboration with architecture and test teams across multiple geographies.

Responsibilities

· Conduct innovative research in Digital Signal Processing (DSP), Machine Learning, Deep Learning, and Speech Processing technologies to develop solutions for voice security, fraud prevention, and cybersecurity applications.

· Design, develop, train, and optimize machine learning models for:

o Synthetic voice and audio deepfake detection

o Text-to-Speech (TTS) generated speech identification

o Automatic Speaker Verification (ASV) spoofing detection

o Speaker authentication and voice biometric security

o Fraud detection and anomaly detection

· Apply Digital Signal Processing (DSP) techniques to analyze, preprocess, enhance, and extract meaningful information from speech and audio signals.

· Design and develop feature extraction pipelines leveraging techniques such as FFT, spectrograms, Mel-spectrograms, MFCCs, LFCCs, cepstral analysis, and speaker embeddings.

· Research, develop, and evaluate advanced countermeasures against synthetic speech, voice deepfakes, and ASV spoofing attacks using state-of-the-art machine learning and deep learning techniques.

· Analyze large-scale speech, audio, and security datasets to identify meaningful patterns, emerging threats, and actionable insights.

· Develop algorithms that combine signal processing and machine learning techniques to improve detection accuracy and robustness against evolving voice-based attacks.

· Write clean, maintainable, and high-performance code using modern programming languages and AI/ML frameworks. Debug, troubleshoot, and resolve software defects efficiently.

· Work closely with cross-functional engineering, architecture, product, and security teams to integrate AI/ML solutions into existing and next-generation Ribbon products.

· Stay current with advancements in speech processing, digital signal processing, machine learning, deep learning, voice biometrics, and audio security technologies.

Requirements

· Degree in Computer Science, Electrical Engineering, Computer Engineering, Signal Processing, Speech Processing, Artificial Intelligence, Data Science, or a related field with 5-8 years of rich industry experience or PhD. (Candidates with research experience and/or with Published research papers would be preferred)

· Demonstrated proficiency in Python and/or C/C++/GOLANG, and hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, and Jupyter Notebook.

· Experience developing, training, and optimizing machine learning and deep learning models for speech, audio, voice biometrics, signal classification, cybersecurity, or related applications.

· Strong understanding of Digital Signal Processing (DSP) and speech processing concepts, including:

o Sampling Theory and Signal Reconstruction

o Time-Domain and Frequency-Domain Analysis

o Fourier Transform (FFT) and Spectral Analysis

o Digital Filtering and Noise Reduction

o Feature Extraction Techniques (MFCC, LFCC, Spectrograms, Mel-Spectrograms, Speaker Embeddings)

o Text-to-Speech (TTS)

o Speaker Recognition and Verification

o Voice Biometrics

o Speech Embeddings

o Synthetic Speech and Audio Deepfake Detection

o ASV Spoofing and Anti-Spoofing Techniques

· Familiarity with state-of-the-art speech AI and anti-spoofing architectures such as CNNs, Transformers, Conformers, ECAPA-TDNN, RawNet, AASIST, Wav2Vec 2.0, and related models used for speaker verification, synthetic speech detection, and ASV spoofing countermeasures.

· Experience applying DSP techniques to speech, audio analytics, voice authentication, or signal classification problems.

· Strong understanding of machine learning fundamentals, deep learning techniques, statistical modeling, data structures, algorithms, and computational complexity.

· Experience evaluating model performance, conducting experiments, and analyzing large-scale datasets to derive meaningful insights.

· Strong analytical and problem-solving skills with the ability to thrive in a highly collaborative and fast-paced environment.

· Excellent communication skills with the ability to translate complex technical concepts and findings into actionable insights for various stakeholders.

Preferred Qualifications

· Experience working with speech and audio processing toolkits and frameworks such as Hugging Face, SpeechBrain, Kaldi, PyTorch Audio, OpenSMILE, or similar technologies.

· Experience with speech and audio datasets, ASVspoof challenge datasets, speaker verification systems, voice authentication technologies, and Text-to-Speech (TTS) models.

· Knowledge of voice biometrics, audio deepfake detection, speaker authentication systems, synthetic speech detection, and fraud prevention technologies.

· Experience with audio feature extraction techniques including MFCC, LFCC, CQCC, spectrograms, filter banks, x-vectors, and speaker embeddings.

· Familiarity with cybersecurity concepts, authentication systems, and AI/ML applications for security and fraud detection.

· Familiarity with Kubernetes, Docker containers, cloud platforms (AWS, Azure), virtualization technologies, and MLOps best practices.

· Industry experience applying machine learning and signal processing techniques to real-world voice security, fraud detection, cybersecurity, or enterprise AI challenges.

· Knowledge of advanced statistical techniques, experimentation methodologies, and data visualization tools.

The anticipated base pay range for this full-time position in all geographic locations is $120,000.00 - $170,000.00 annually. Actual compensation within the range will be determined based on a variety of factors, including, but not limited to the candidate’s experience, skills and education. The compensation package also includes eligibility for an incentive plan and comprehensive benefits, subject to applicable requirements.

Please Note:

US Citizens and all other parties authorized to work in the US are encouraged to apply.

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Ribbon Communications Inc.

Current Open Positions